Overview

Brought to you by YData

Dataset statistics

Number of variables134
Number of observations26208
Missing cells4092
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.8 MiB
Average record size in memory1.1 KiB

Variable types

DateTime1
Numeric113
Categorical19
Boolean1

Dataset

DescriptionSix-Month Monitoring Dataset from a 10-Turbine Onshore Wind Farm in Greece.
URLhttps://doi.org/10.5281/zenodo.14546479

Alerts

Gear Oil Temp. Avg. [°C] has constant value "999.0" Constant
Gear Bearing Temp. Avg. [°C] has constant value "999.0" Constant
Gear Oil TemperatureLevel2_3 Avg. [°C] has constant value "0.0" Constant
Ambient WindSpeed Estimated Avg. [m/s] has constant value "0.0" Constant
Grid Production PossibleInductive Avg. [var] has constant value "0.0" Constant
Grid Production PossibleInductive Max. [var] has constant value "0.0" Constant
Grid Production PossibleInductive Min. [var] has constant value "0.0" Constant
Grid Production PossibleInductive StdDev [var] has constant value "0.0" Constant
Grid Production PossibleCapacitive Avg. [var] has constant value "0.0" Constant
Grid Production PossibleCapacitive Max. [var] has constant value "0.0" Constant
Grid Production PossibleCapacitive Min. [var] has constant value "0.0" Constant
Grid Production PossibleCapacitive StdDev [var] has constant value "0.0" Constant
Reactive power set point [var] has constant value "0.0" Constant
Spinner Temp. SlipRing Avg. [°C] has constant value "999.0" Constant
HourCounters Average Total Avg. [h] has constant value "600.0" Constant
Active power generator 0, Total accumulated [W] is highly overall correlated with Active power generator 1, Total accumulated [W] and 27 other fieldsHigh correlation
Active power generator 1, Total accumulated [W] is highly overall correlated with Active power generator 0, Total accumulated [W] and 27 other fieldsHigh correlation
Active power generator 2, Total accumulated [W] is highly overall correlated with Active power generator 0, Total accumulated [W] and 27 other fieldsHigh correlation
Active power limit [W] is highly overall correlated with missing_dataHigh correlation
Active power limit source is highly overall correlated with HourCounters Average GridOn Avg. [h] and 3 other fieldsHigh correlation
Ambient Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 28 other fieldsHigh correlation
Ambient WindDir Absolute Avg. [°] is highly overall correlated with Avg. direction [°] and 1 other fieldsHigh correlation
Ambient WindDir Relative Avg. [°] is highly overall correlated with missing_dataHigh correlation
Ambient WindSpeed Avg. [m/s] is highly overall correlated with Ambient WindSpeed Max. [m/s] and 49 other fieldsHigh correlation
Ambient WindSpeed Max. [m/s] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 49 other fieldsHigh correlation
Ambient WindSpeed Min. [m/s] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 49 other fieldsHigh correlation
Ambient WindSpeed StdDev [m/s] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 48 other fieldsHigh correlation
Ambient ok hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 27 other fieldsHigh correlation
Avg. direction [°] is highly overall correlated with Ambient WindDir Absolute Avg. [°] and 1 other fieldsHigh correlation
Blades PitchAngle Avg. [°] is highly overall correlated with Blades PitchAngle Max. [°] and 13 other fieldsHigh correlation
Blades PitchAngle Max. [°] is highly overall correlated with Blades PitchAngle Avg. [°] and 25 other fieldsHigh correlation
Blades PitchAngle Min. [°] is highly overall correlated with Blades PitchAngle Avg. [°] and 10 other fieldsHigh correlation
Blades PitchAngle StdDev [°] is highly overall correlated with Ambient WindSpeed StdDev [m/s] and 5 other fieldsHigh correlation
Controller Ground Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 28 other fieldsHigh correlation
Controller Hub Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 27 other fieldsHigh correlation
Controller Top Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 33 other fieldsHigh correlation
Controller VCP ChokecoilTemp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 52 other fieldsHigh correlation
Controller VCP Temp. Avg. [°C] is highly overall correlated with Ambient Temp. Avg. [°C] and 29 other fieldsHigh correlation
Controller VCP WaterTemp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 52 other fieldsHigh correlation
First Alarm parameter 1 in 10 min frame is highly overall correlated with HourCounters Average AlarmActive Avg. [h] and 4 other fieldsHigh correlation
First Alarm parameter 2 in 10 min frame is highly overall correlated with missing_dataHigh correlation
Gear Bearing TemperatureHSGeneratorEnd Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 52 other fieldsHigh correlation
Gear Bearing TemperatureHSMiddle Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 53 other fieldsHigh correlation
Gear Bearing TemperatureHSRotorEnd Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 52 other fieldsHigh correlation
Gear Bearing TemperatureHollowShaftGenerator Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 53 other fieldsHigh correlation
Gear Bearing TemperatureHollowShaftRotor Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 53 other fieldsHigh correlation
Gear Oil TemperatureBasis Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 52 other fieldsHigh correlation
Gear Oil TemperatureLevel1 Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 46 other fieldsHigh correlation
Generator 1 hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 27 other fieldsHigh correlation
Generator 2 hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 27 other fieldsHigh correlation
Generator Bearing Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 53 other fieldsHigh correlation
Generator Bearing2 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 51 other fieldsHigh correlation
Generator CoolingWater Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 52 other fieldsHigh correlation
Generator Phase1 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 52 other fieldsHigh correlation
Generator Phase2 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 51 other fieldsHigh correlation
Generator Phase3 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 51 other fieldsHigh correlation
Generator RPM Avg. [RPM] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 51 other fieldsHigh correlation
Generator RPM Max. [RPM] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 53 other fieldsHigh correlation
Generator RPM Min. [RPM] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 51 other fieldsHigh correlation
Generator RPM StdDev [RPM] is highly overall correlated with Rotor RPM StdDev [RPM] and 1 other fieldsHigh correlation
Generator SlipRing Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 36 other fieldsHigh correlation
Grid Busbar Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 65 other fieldsHigh correlation
Grid InverterPhase1 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 51 other fieldsHigh correlation
Grid Production CosPhi Avg. is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 44 other fieldsHigh correlation
Grid Production CurrentPhase1 Avg. [A] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 50 other fieldsHigh correlation
Grid Production CurrentPhase2 Avg. [A] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 50 other fieldsHigh correlation
Grid Production CurrentPhase3 Avg. [A] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 50 other fieldsHigh correlation
Grid Production Frequency Avg. [Hz] is highly overall correlated with Ambient WindSpeed Min. [m/s] and 42 other fieldsHigh correlation
Grid Production PossiblePower Avg. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 49 other fieldsHigh correlation
Grid Production PossiblePower Max. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 50 other fieldsHigh correlation
Grid Production PossiblePower Min. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 48 other fieldsHigh correlation
Grid Production PossiblePower StdDev [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 51 other fieldsHigh correlation
Grid Production Power Avg. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 51 other fieldsHigh correlation
Grid Production Power Max. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 53 other fieldsHigh correlation
Grid Production Power Min. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 48 other fieldsHigh correlation
Grid Production Power StdDev [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 50 other fieldsHigh correlation
Grid Production ReactivePower Avg. [W] is highly overall correlated with Grid Production ReactivePower Max. [W] and 4 other fieldsHigh correlation
Grid Production ReactivePower Max. [W] is highly overall correlated with Ambient WindSpeed StdDev [m/s] and 10 other fieldsHigh correlation
Grid Production ReactivePower Min. [W] is highly overall correlated with Blades PitchAngle Avg. [°] and 6 other fieldsHigh correlation
Grid Production ReactivePower StdDev [W] is highly overall correlated with Blades PitchAngle Avg. [°] and 7 other fieldsHigh correlation
Grid Production VoltagePhase1 Avg. [V] is highly overall correlated with Grid Production Frequency Avg. [Hz] and 3 other fieldsHigh correlation
Grid Production VoltagePhase2 Avg. [V] is highly overall correlated with Grid Production Frequency Avg. [Hz] and 3 other fieldsHigh correlation
Grid Production VoltagePhase3 Avg. [V] is highly overall correlated with Grid Production Frequency Avg. [Hz] and 3 other fieldsHigh correlation
Grid RotorInvPhase1 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 51 other fieldsHigh correlation
Grid RotorInvPhase2 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 51 other fieldsHigh correlation
Grid RotorInvPhase3 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 51 other fieldsHigh correlation
Grid ok hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 27 other fieldsHigh correlation
Grid on hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 27 other fieldsHigh correlation
HVTrafo AirOutlet Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 33 other fieldsHigh correlation
HVTrafo Phase1 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 52 other fieldsHigh correlation
HVTrafo Phase2 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 52 other fieldsHigh correlation
HVTrafo Phase3 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 52 other fieldsHigh correlation
HourCounters Average AlarmActive Avg. [h] is highly overall correlated with First Alarm parameter 1 in 10 min frame and 6 other fieldsHigh correlation
HourCounters Average AmbientOk Avg. [h] is highly overall correlated with First Alarm parameter 1 in 10 min frame and 6 other fieldsHigh correlation
HourCounters Average Gen1 Avg. [h] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 48 other fieldsHigh correlation
HourCounters Average Gen2 Avg. [h] is highly overall correlated with Grid Production ReactivePower StdDev [W] and 4 other fieldsHigh correlation
HourCounters Average GridOk Avg. [h] is highly overall correlated with HourCounters Average AlarmActive Avg. [h] and 6 other fieldsHigh correlation
HourCounters Average GridOn Avg. [h] is highly overall correlated with Active power limit source and 4 other fieldsHigh correlation
HourCounters Average Run Avg. [h] is highly overall correlated with First Alarm parameter 1 in 10 min frame and 7 other fieldsHigh correlation
HourCounters Average ServiceOn Avg. [h] is highly overall correlated with HourCounters Average AmbientOk Avg. [h] and 4 other fieldsHigh correlation
HourCounters Average TurbineOk Avg. [h] is highly overall correlated with HourCounters Average AlarmActive Avg. [h] and 5 other fieldsHigh correlation
HourCounters Average WindOk Avg. [h] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 47 other fieldsHigh correlation
HourCounters Average Yaw Avg. [h] is highly overall correlated with Grid Production ReactivePower Max. [W] and 1 other fieldsHigh correlation
Hydraulic Oil Temp. Avg. [°C] is highly overall correlated with Grid Production Frequency Avg. [Hz] and 1 other fieldsHigh correlation
Nacelle Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 35 other fieldsHigh correlation
Power factor set point is highly overall correlated with Active power limit source and 3 other fieldsHigh correlation
Power factor set point source is highly overall correlated with Active power limit source and 3 other fieldsHigh correlation
Production LatestAverage Active Power Gen 0 Avg. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 48 other fieldsHigh correlation
Production LatestAverage Active Power Gen 1 Avg. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 50 other fieldsHigh correlation
Production LatestAverage Active Power Gen 2 Avg. [W] is highly overall correlated with Grid Production ReactivePower StdDev [W] and 4 other fieldsHigh correlation
Production LatestAverage Reactive Power Gen 0 Avg. [var] is highly overall correlated with Blades PitchAngle Max. [°] and 7 other fieldsHigh correlation
Production LatestAverage Reactive Power Gen 1 Avg. [var] is highly overall correlated with Production LatestAverage Active Power Gen 1 Avg. [W] and 2 other fieldsHigh correlation
Production LatestAverage Reactive Power Gen 2 Avg. [var] is highly overall correlated with missing_dataHigh correlation
Production LatestAverage Total Active Power Avg. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 51 other fieldsHigh correlation
Production LatestAverage Total Reactive Power Avg. [var] is highly overall correlated with Blades PitchAngle StdDev [°] and 18 other fieldsHigh correlation
Reactive power generator 0,Total accumulated [var] is highly overall correlated with Active power generator 0, Total accumulated [W] and 27 other fieldsHigh correlation
Reactive power generator 1, Total accumulated [var] is highly overall correlated with Active power generator 0, Total accumulated [W] and 27 other fieldsHigh correlation
Reactive power generator 2, Total accumulated [var] is highly overall correlated with Active power generator 0, Total accumulated [W] and 27 other fieldsHigh correlation
Rotor RPM Avg. [RPM] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 51 other fieldsHigh correlation
Rotor RPM Max. [RPM] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 53 other fieldsHigh correlation
Rotor RPM Min. [RPM] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 51 other fieldsHigh correlation
Rotor RPM StdDev [RPM] is highly overall correlated with Generator RPM StdDev [RPM] and 1 other fieldsHigh correlation
Run hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 27 other fieldsHigh correlation
Service hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 27 other fieldsHigh correlation
Spinner Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 28 other fieldsHigh correlation
System Logs First Active Alarm No is highly overall correlated with First Alarm parameter 1 in 10 min frame and 6 other fieldsHigh correlation
Total Active power [W] is highly overall correlated with Active power generator 0, Total accumulated [W] and 27 other fieldsHigh correlation
Total hour counter [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 27 other fieldsHigh correlation
Total reactive power [var] is highly overall correlated with Active power generator 0, Total accumulated [W] and 27 other fieldsHigh correlation
Turbine ok hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 27 other fieldsHigh correlation
Wind ok hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 27 other fieldsHigh correlation
Yaw hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 27 other fieldsHigh correlation
missing_data is highly overall correlated with Active power generator 0, Total accumulated [W] and 116 other fieldsHigh correlation
Grid Production Frequency Avg. [Hz] is highly imbalanced (97.6%) Imbalance
Active power limit source is highly imbalanced (99.6%) Imbalance
Power factor set point is highly imbalanced (99.6%) Imbalance
Power factor set point source is highly imbalanced (99.6%) Imbalance
missing_data is highly imbalanced (98.7%) Imbalance
Generator RPM Min. [RPM] is highly skewed (γ1 = 37.14368433) Skewed
Rotor RPM Min. [RPM] is highly skewed (γ1 = 158.309415) Skewed
Ambient WindSpeed Min. [m/s] is highly skewed (γ1 = 160.549921) Skewed
Grid Production VoltagePhase1 Avg. [V] is highly skewed (γ1 = -21.49323752) Skewed
Grid Production VoltagePhase2 Avg. [V] is highly skewed (γ1 = -22.23483831) Skewed
Active power limit [W] is highly skewed (γ1 = -26.14682686) Skewed
Blades PitchAngle Min. [°] is highly skewed (γ1 = -72.54895346) Skewed
Blades PitchAngle Max. [°] is highly skewed (γ1 = 84.62504453) Skewed
HourCounters Average GridOn Avg. [h] is highly skewed (γ1 = -52.23014045) Skewed
First Alarm parameter 2 in 10 min frame is highly skewed (γ1 = -51.08595734) Skewed
Total hour counter [h] is uniformly distributed Uniform
Grid on hours [h] is uniformly distributed Uniform
Grid ok hours [h] is uniformly distributed Uniform
Timestamp has unique values Unique
Generator RPM Max. [RPM] has 979 (3.7%) zeros Zeros
Generator RPM Min. [RPM] has 2024 (7.7%) zeros Zeros
Generator RPM Avg. [RPM] has 1338 (5.1%) zeros Zeros
Generator RPM StdDev [RPM] has 1258 (4.8%) zeros Zeros
Rotor RPM Max. [RPM] has 1276 (4.9%) zeros Zeros
Rotor RPM Min. [RPM] has 2183 (8.3%) zeros Zeros
Rotor RPM Avg. [RPM] has 1702 (6.5%) zeros Zeros
Rotor RPM StdDev [RPM] has 7468 (28.5%) zeros Zeros
Grid Production ReactivePower Avg. [W] has 18707 (71.4%) zeros Zeros
Grid Production ReactivePower StdDev [W] has 10260 (39.1%) zeros Zeros
Grid Production PossiblePower Avg. [W] has 3232 (12.3%) zeros Zeros
Grid Production PossiblePower Max. [W] has 3171 (12.1%) zeros Zeros
Grid Production PossiblePower Min. [W] has 3844 (14.7%) zeros Zeros
Grid Production PossiblePower StdDev [W] has 3951 (15.1%) zeros Zeros
Blades PitchAngle Min. [°] has 273 (1.0%) zeros Zeros
Blades PitchAngle Avg. [°] has 365 (1.4%) zeros Zeros
Blades PitchAngle StdDev [°] has 4677 (17.8%) zeros Zeros
HourCounters Average TurbineOk Avg. [h] has 460 (1.8%) zeros Zeros
HourCounters Average Run Avg. [h] has 667 (2.5%) zeros Zeros
HourCounters Average Gen1 Avg. [h] has 16059 (61.3%) zeros Zeros
HourCounters Average Gen2 Avg. [h] has 13810 (52.7%) zeros Zeros
HourCounters Average Yaw Avg. [h] has 9659 (36.9%) zeros Zeros
HourCounters Average ServiceOn Avg. [h] has 25962 (99.1%) zeros Zeros
HourCounters Average AmbientOk Avg. [h] has 367 (1.4%) zeros Zeros
HourCounters Average WindOk Avg. [h] has 5953 (22.7%) zeros Zeros
HourCounters Average AlarmActive Avg. [h] has 25363 (96.8%) zeros Zeros
Production LatestAverage Active Power Gen 0 Avg. [W] has 19394 (74.0%) zeros Zeros
Production LatestAverage Active Power Gen 1 Avg. [W] has 16037 (61.2%) zeros Zeros
Production LatestAverage Active Power Gen 2 Avg. [W] has 13746 (52.4%) zeros Zeros
Production LatestAverage Reactive Power Gen 0 Avg. [var] has 19437 (74.2%) zeros Zeros
Production LatestAverage Reactive Power Gen 1 Avg. [var] has 22453 (85.7%) zeros Zeros
Production LatestAverage Reactive Power Gen 2 Avg. [var] has 23633 (90.2%) zeros Zeros
Production LatestAverage Total Reactive Power Avg. [var] has 15446 (58.9%) zeros Zeros
System Logs First Active Alarm No has 25363 (96.8%) zeros Zeros
First Alarm parameter 1 in 10 min frame has 25720 (98.1%) zeros Zeros
First Alarm parameter 2 in 10 min frame has 26161 (99.8%) zeros Zeros

Reproduction

Analysis started2025-05-05 15:41:51.570005
Analysis finished2025-05-05 15:42:24.182222
Duration32.61 seconds
Software versionydata-profiling vv4.16.1
Download configurationconfig.json

Variables

Timestamp
Date

Unique 

Distinct26208
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 MiB
Minimum2020-01-01 00:00:00
Maximum2020-06-30 23:50:00
Invalid dates0
Invalid dates (%)0.0%
2025-05-05T17:42:24.222203image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-05T17:42:24.304214image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Generator RPM Max. [RPM]
Real number (ℝ)

High correlation  Zeros 

Distinct1244
Distinct (%)4.8%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1215.7274
Minimum0
Maximum1906
Zeros979
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:24.387681image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q11062
median1347
Q31649
95-th percentile1741
Maximum1906
Range1906
Interquartile range (IQR)587

Descriptive statistics

Standard deviation537.23128
Coefficient of variation (CV)0.44190112
Kurtosis0.095736735
Mean1215.7274
Median Absolute Deviation (MAD)292
Skewness-1.1250099
Sum31824095
Variance288617.45
MonotonicityNot monotonic
2025-05-05T17:42:24.468122image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 979
 
3.7%
1055 346
 
1.3%
1054 329
 
1.3%
1056 284
 
1.1%
1059 222
 
0.8%
1057 219
 
0.8%
1058 212
 
0.8%
1645 203
 
0.8%
1644 202
 
0.8%
1648 197
 
0.8%
Other values (1234) 22984
87.7%
ValueCountFrequency (%)
0 979
3.7%
1 130
 
0.5%
2 82
 
0.3%
3 30
 
0.1%
4 33
 
0.1%
5 26
 
0.1%
6 27
 
0.1%
7 22
 
0.1%
8 24
 
0.1%
9 20
 
0.1%
ValueCountFrequency (%)
1906 1
< 0.1%
1903 1
< 0.1%
1902 1
< 0.1%
1894 1
< 0.1%
1890 1
< 0.1%
1889 1
< 0.1%
1887 1
< 0.1%
1883 1
< 0.1%
1877 2
< 0.1%
1876 1
< 0.1%

Generator RPM Min. [RPM]
Real number (ℝ)

High correlation  Skewed  Zeros 

Distinct1107
Distinct (%)4.2%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean987.61332
Minimum0
Maximum65535
Zeros2024
Zeros (%)7.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:24.547484image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1993
median1043
Q31339
95-th percentile1611
Maximum65535
Range65535
Interquartile range (IQR)346

Descriptive statistics

Standard deviation649.26969
Coefficient of variation (CV)0.65741285
Kurtosis3730.5463
Mean987.61332
Median Absolute Deviation (MAD)245
Skewness37.143684
Sum25852754
Variance421551.13
MonotonicityNot monotonic
2025-05-05T17:42:24.623170image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2024
 
7.7%
1044 609
 
2.3%
1043 565
 
2.2%
1042 502
 
1.9%
1041 413
 
1.6%
1040 402
 
1.5%
1038 398
 
1.5%
1039 370
 
1.4%
1045 370
 
1.4%
1037 317
 
1.2%
Other values (1097) 20207
77.1%
ValueCountFrequency (%)
0 2024
7.7%
1 72
 
0.3%
2 50
 
0.2%
3 33
 
0.1%
4 10
 
< 0.1%
5 12
 
< 0.1%
6 8
 
< 0.1%
7 9
 
< 0.1%
8 8
 
< 0.1%
9 7
 
< 0.1%
ValueCountFrequency (%)
65535 1
 
< 0.1%
1637 2
 
< 0.1%
1636 7
 
< 0.1%
1635 11
 
< 0.1%
1634 17
0.1%
1633 12
 
< 0.1%
1632 21
0.1%
1631 32
0.1%
1630 30
0.1%
1629 27
0.1%

Generator RPM Avg. [RPM]
Real number (ℝ)

High correlation  Zeros 

Distinct1525
Distinct (%)5.8%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1100.3491
Minimum0
Maximum1647
Zeros1338
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:24.700171image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11049
median1135
Q31584
95-th percentile1640
Maximum1647
Range1647
Interquartile range (IQR)535

Descriptive statistics

Standard deviation520.94016
Coefficient of variation (CV)0.47343171
Kurtosis-0.26391218
Mean1100.3491
Median Absolute Deviation (MAD)366
Skewness-0.92266633
Sum28803839
Variance271378.65
MonotonicityNot monotonic
2025-05-05T17:42:24.779138image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1049 2939
 
11.2%
1639 2179
 
8.3%
0 1338
 
5.1%
1640 498
 
1.9%
1638 460
 
1.8%
1050 460
 
1.8%
1641 372
 
1.4%
1642 308
 
1.2%
1643 258
 
1.0%
1051 248
 
0.9%
Other values (1515) 17117
65.3%
ValueCountFrequency (%)
0 1338
5.1%
1 93
 
0.4%
2 43
 
0.2%
3 48
 
0.2%
4 42
 
0.2%
5 37
 
0.1%
6 33
 
0.1%
7 25
 
0.1%
8 23
 
0.1%
9 18
 
0.1%
ValueCountFrequency (%)
1647 5
 
< 0.1%
1646 27
 
0.1%
1645 62
 
0.2%
1644 159
 
0.6%
1643 258
 
1.0%
1642 308
 
1.2%
1641 372
 
1.4%
1640 498
 
1.9%
1639 2179
8.3%
1638 460
 
1.8%

Generator RPM StdDev [RPM]
Real number (ℝ)

High correlation  Zeros 

Distinct525
Distinct (%)2.0%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean56.969019
Minimum0
Maximum809
Zeros1258
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:24.859657image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median29
Q376
95-th percentile198
Maximum809
Range809
Interquartile range (IQR)68

Descriptive statistics

Standard deviation81.449765
Coefficient of variation (CV)1.4297203
Kurtosis13.328325
Mean56.969019
Median Absolute Deviation (MAD)25
Skewness3.1592366
Sum1491278
Variance6634.0642
MonotonicityNot monotonic
2025-05-05T17:42:24.939643image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1258
 
4.8%
2 1084
 
4.1%
3 738
 
2.8%
4 700
 
2.7%
5 682
 
2.6%
1 676
 
2.6%
7 652
 
2.5%
6 612
 
2.3%
8 591
 
2.3%
10 519
 
2.0%
Other values (515) 18665
71.2%
ValueCountFrequency (%)
0 1258
4.8%
1 676
2.6%
2 1084
4.1%
3 738
2.8%
4 700
2.7%
5 682
2.6%
6 612
2.3%
7 652
2.5%
8 591
2.3%
9 493
 
1.9%
ValueCountFrequency (%)
809 1
< 0.1%
797 2
< 0.1%
773 1
< 0.1%
767 1
< 0.1%
745 1
< 0.1%
740 1
< 0.1%
736 1
< 0.1%
730 1
< 0.1%
725 1
< 0.1%
721 1
< 0.1%

Generator Bearing Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct59
Distinct (%)0.2%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean40.314131
Minimum0
Maximum79
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:25.020335image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30
Q134
median38
Q344
95-th percentile64
Maximum79
Range79
Interquartile range (IQR)10

Descriptive statistics

Standard deviation9.4327822
Coefficient of variation (CV)0.23398203
Kurtosis2.5956766
Mean40.314131
Median Absolute Deviation (MAD)5
Skewness1.5650358
Sum1055303
Variance88.97738
MonotonicityNot monotonic
2025-05-05T17:42:25.102947image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34 2332
 
8.9%
33 1925
 
7.3%
35 1888
 
7.2%
36 1791
 
6.8%
32 1464
 
5.6%
38 1309
 
5.0%
44 1223
 
4.7%
37 1192
 
4.5%
42 1024
 
3.9%
39 994
 
3.8%
Other values (49) 11035
42.1%
ValueCountFrequency (%)
0 1
 
< 0.1%
22 3
 
< 0.1%
23 6
 
< 0.1%
24 8
 
< 0.1%
25 55
 
0.2%
26 126
 
0.5%
27 92
 
0.4%
28 142
 
0.5%
29 342
1.3%
30 645
2.5%
ValueCountFrequency (%)
79 1
 
< 0.1%
78 21
 
0.1%
77 12
 
< 0.1%
76 19
 
0.1%
75 7
 
< 0.1%
74 40
 
0.2%
73 106
0.4%
72 182
0.7%
71 149
0.6%
70 61
 
0.2%

Generator Phase1 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct101
Distinct (%)0.4%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean52.297437
Minimum0
Maximum116
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:25.183950image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile29
Q138
median44
Q363
95-th percentile99
Maximum116
Range116
Interquartile range (IQR)25

Descriptive statistics

Standard deviation20.99244
Coefficient of variation (CV)0.40140476
Kurtosis0.29815673
Mean52.297437
Median Absolute Deviation (MAD)11
Skewness1.0705222
Sum1368990
Variance440.68254
MonotonicityNot monotonic
2025-05-05T17:42:25.262721image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40 1454
 
5.5%
41 1194
 
4.6%
42 1111
 
4.2%
29 1076
 
4.1%
39 1053
 
4.0%
30 854
 
3.3%
43 812
 
3.1%
38 760
 
2.9%
44 681
 
2.6%
28 666
 
2.5%
Other values (91) 16516
63.0%
ValueCountFrequency (%)
0 1
 
< 0.1%
17 3
 
< 0.1%
18 7
< 0.1%
19 9
< 0.1%
20 7
< 0.1%
21 7
< 0.1%
22 6
 
< 0.1%
23 11
< 0.1%
24 13
< 0.1%
25 16
0.1%
ValueCountFrequency (%)
116 6
 
< 0.1%
115 16
 
0.1%
114 12
 
< 0.1%
113 8
 
< 0.1%
112 7
 
< 0.1%
111 13
 
< 0.1%
110 78
0.3%
109 108
0.4%
108 121
0.5%
107 131
0.5%

Generator Phase2 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct104
Distinct (%)0.4%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean53.290293
Minimum0
Maximum119
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:25.341092image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile29
Q139
median45
Q365
95-th percentile101
Maximum119
Range119
Interquartile range (IQR)26

Descriptive statistics

Standard deviation21.607275
Coefficient of variation (CV)0.40546363
Kurtosis0.24437674
Mean53.290293
Median Absolute Deviation (MAD)12
Skewness1.0419781
Sum1394980
Variance466.87435
MonotonicityNot monotonic
2025-05-05T17:42:25.930419image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42 1278
 
4.9%
41 1247
 
4.8%
40 1189
 
4.5%
29 983
 
3.8%
43 947
 
3.6%
44 830
 
3.2%
30 827
 
3.2%
28 750
 
2.9%
39 721
 
2.8%
46 616
 
2.4%
Other values (94) 16789
64.1%
ValueCountFrequency (%)
0 1
 
< 0.1%
17 3
 
< 0.1%
18 5
 
< 0.1%
19 11
< 0.1%
20 7
 
< 0.1%
21 5
 
< 0.1%
22 7
 
< 0.1%
23 12
< 0.1%
24 12
< 0.1%
25 20
0.1%
ValueCountFrequency (%)
119 5
 
< 0.1%
118 9
 
< 0.1%
117 16
 
0.1%
116 9
 
< 0.1%
115 7
 
< 0.1%
114 7
 
< 0.1%
113 35
 
0.1%
112 68
0.3%
111 105
0.4%
110 143
0.5%

Generator Phase3 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct101
Distinct (%)0.4%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean52.915957
Minimum0
Maximum116
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:26.007370image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile29
Q139
median45
Q364
95-th percentile99
Maximum116
Range116
Interquartile range (IQR)25

Descriptive statistics

Standard deviation21.101067
Coefficient of variation (CV)0.39876566
Kurtosis0.23777194
Mean52.915957
Median Absolute Deviation (MAD)12
Skewness1.0375744
Sum1385181
Variance445.25501
MonotonicityNot monotonic
2025-05-05T17:42:26.086539image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40 1270
 
4.8%
42 1241
 
4.7%
41 1236
 
4.7%
29 1058
 
4.0%
43 943
 
3.6%
30 829
 
3.2%
44 820
 
3.1%
39 750
 
2.9%
31 614
 
2.3%
28 612
 
2.3%
Other values (91) 16804
64.1%
ValueCountFrequency (%)
0 1
 
< 0.1%
17 3
 
< 0.1%
18 5
 
< 0.1%
19 11
< 0.1%
20 5
 
< 0.1%
21 7
< 0.1%
22 5
 
< 0.1%
23 13
< 0.1%
24 11
< 0.1%
25 16
0.1%
ValueCountFrequency (%)
116 10
 
< 0.1%
115 19
 
0.1%
114 9
 
< 0.1%
113 6
 
< 0.1%
112 7
 
< 0.1%
111 37
 
0.1%
110 101
0.4%
109 121
0.5%
108 132
0.5%
107 116
0.4%

Generator SlipRing Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct32
Distinct (%)0.1%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean30.738664
Minimum0
Maximum46
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:26.157059image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile23
Q128
median31
Q334
95-th percentile36
Maximum46
Range46
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.2911819
Coefficient of variation (CV)0.1396021
Kurtosis0.13685354
Mean30.738664
Median Absolute Deviation (MAD)3
Skewness-0.37341549
Sum804646
Variance18.414242
MonotonicityNot monotonic
2025-05-05T17:42:26.219590image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
34 2833
10.8%
32 2704
10.3%
33 2334
8.9%
30 2283
8.7%
31 2167
 
8.3%
35 2097
 
8.0%
36 1743
 
6.7%
29 1574
 
6.0%
28 1539
 
5.9%
27 1417
 
5.4%
Other values (22) 5486
20.9%
ValueCountFrequency (%)
0 1
 
< 0.1%
15 1
 
< 0.1%
17 2
 
< 0.1%
18 6
 
< 0.1%
19 84
 
0.3%
20 338
1.3%
21 410
1.6%
22 327
1.2%
23 404
1.5%
24 774
3.0%
ValueCountFrequency (%)
46 3
 
< 0.1%
45 5
 
< 0.1%
44 34
 
0.1%
43 51
 
0.2%
42 81
 
0.3%
41 74
 
0.3%
40 180
0.7%
39 129
0.5%
38 124
 
0.5%
37 316
1.2%

Generator Bearing2 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct72
Distinct (%)0.3%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean55.834244
Minimum0
Maximum95
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:26.290747image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile32
Q141
median51
Q372
95-th percentile85
Maximum95
Range95
Interquartile range (IQR)31

Descriptive statistics

Standard deviation17.509181
Coefficient of variation (CV)0.31359216
Kurtosis-1.1987383
Mean55.834244
Median Absolute Deviation (MAD)13
Skewness0.34036432
Sum1461573
Variance306.57143
MonotonicityNot monotonic
2025-05-05T17:42:26.368878image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42 1001
 
3.8%
40 941
 
3.6%
41 932
 
3.6%
44 861
 
3.3%
46 754
 
2.9%
38 734
 
2.8%
43 726
 
2.8%
39 687
 
2.6%
45 646
 
2.5%
81 580
 
2.2%
Other values (62) 18315
69.9%
ValueCountFrequency (%)
0 1
 
< 0.1%
25 34
 
0.1%
26 79
 
0.3%
27 85
 
0.3%
28 102
 
0.4%
29 187
0.7%
30 276
1.1%
31 267
1.0%
32 417
1.6%
33 382
1.5%
ValueCountFrequency (%)
95 7
 
< 0.1%
94 5
 
< 0.1%
93 13
 
< 0.1%
92 13
 
< 0.1%
91 35
 
0.1%
90 74
 
0.3%
89 98
 
0.4%
88 229
0.9%
87 255
1.0%
86 356
1.4%

Generator CoolingWater Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct36
Distinct (%)0.1%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean31.713756
Minimum0
Maximum48
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:26.440133image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile28
Q129
median30
Q335
95-th percentile39
Maximum48
Range48
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.9350442
Coefficient of variation (CV)0.12408004
Kurtosis1.0135444
Mean31.713756
Median Absolute Deviation (MAD)2
Skewness0.63452328
Sum830171
Variance15.484573
MonotonicityNot monotonic
2025-05-05T17:42:26.508360image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
28 5520
21.1%
29 4933
18.8%
34 3375
12.9%
35 3131
11.9%
30 1977
 
7.5%
36 1094
 
4.2%
32 1019
 
3.9%
31 1009
 
3.8%
33 820
 
3.1%
27 558
 
2.1%
Other values (26) 2741
10.5%
ValueCountFrequency (%)
0 1
 
< 0.1%
14 11
 
< 0.1%
15 6
 
< 0.1%
16 9
 
< 0.1%
17 10
 
< 0.1%
18 26
0.1%
19 10
 
< 0.1%
20 10
 
< 0.1%
21 8
 
< 0.1%
22 31
0.1%
ValueCountFrequency (%)
48 15
 
0.1%
47 43
 
0.2%
46 47
 
0.2%
45 49
 
0.2%
44 34
 
0.1%
43 29
 
0.1%
42 209
0.8%
41 281
1.1%
40 497
1.9%
39 338
1.3%

Hydraulic Oil Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct23
Distinct (%)0.1%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean49.897773
Minimum0
Maximum55
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:26.566380image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile45
Q148
median50
Q352
95-th percentile54
Maximum55
Range55
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.0249601
Coefficient of variation (CV)0.060623148
Kurtosis2.4303311
Mean49.897773
Median Absolute Deviation (MAD)2
Skewness-0.7165255
Sum1306174
Variance9.1503836
MonotonicityNot monotonic
2025-05-05T17:42:26.624500image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
53 4366
16.7%
52 3809
14.5%
51 2658
10.1%
50 2456
9.4%
54 2153
8.2%
49 2121
8.1%
48 2098
8.0%
45 2061
7.9%
47 1891
7.2%
46 1848
7.1%
Other values (13) 716
 
2.7%
ValueCountFrequency (%)
0 1
 
< 0.1%
33 1
 
< 0.1%
34 3
 
< 0.1%
36 9
 
< 0.1%
37 15
0.1%
38 19
0.1%
39 16
0.1%
40 29
0.1%
41 19
0.1%
42 20
0.1%
ValueCountFrequency (%)
55 1
 
< 0.1%
54 2153
8.2%
53 4366
16.7%
52 3809
14.5%
51 2658
10.1%
50 2456
9.4%
49 2121
8.1%
48 2098
8.0%
47 1891
7.2%
46 1848
7.1%

Gear Oil Temp. Avg. [°C]
Categorical

Constant 

Distinct1
Distinct (%)< 0.1%
Missing31
Missing (%)0.1%
Memory size2.6 MiB
999.0
26177 

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters130885
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row999.0
2nd row999.0
3rd row999.0
4th row999.0
5th row999.0

Common Values

ValueCountFrequency (%)
999.0 26177
99.9%
(Missing) 31
 
0.1%

Length

2025-05-05T17:42:26.685957image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:42:26.720023image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
999.0 26177
100.0%

Most occurring characters

ValueCountFrequency (%)
9 78531
60.0%
. 26177
 
20.0%
0 26177
 
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 130885
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
9 78531
60.0%
. 26177
 
20.0%
0 26177
 
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 130885
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
9 78531
60.0%
. 26177
 
20.0%
0 26177
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 130885
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
9 78531
60.0%
. 26177
 
20.0%
0 26177
 
20.0%

Gear Bearing Temp. Avg. [°C]
Categorical

Constant 

Distinct1
Distinct (%)< 0.1%
Missing31
Missing (%)0.1%
Memory size2.6 MiB
999.0
26177 

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters130885
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row999.0
2nd row999.0
3rd row999.0
4th row999.0
5th row999.0

Common Values

ValueCountFrequency (%)
999.0 26177
99.9%
(Missing) 31
 
0.1%

Length

2025-05-05T17:42:26.758591image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:42:26.792167image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
999.0 26177
100.0%

Most occurring characters

ValueCountFrequency (%)
9 78531
60.0%
. 26177
 
20.0%
0 26177
 
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 130885
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
9 78531
60.0%
. 26177
 
20.0%
0 26177
 
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 130885
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
9 78531
60.0%
. 26177
 
20.0%
0 26177
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 130885
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
9 78531
60.0%
. 26177
 
20.0%
0 26177
 
20.0%

Gear Oil TemperatureBasis Avg. [°C]
Real number (ℝ)

High correlation 

Distinct36
Distinct (%)0.1%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean57.257631
Minimum0
Maximum69
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:26.835191image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile47
Q153
median56
Q363
95-th percentile67
Maximum69
Range69
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.2773927
Coefficient of variation (CV)0.10963417
Kurtosis-0.55150259
Mean57.257631
Median Absolute Deviation (MAD)5
Skewness-0.036110513
Sum1498833
Variance39.405659
MonotonicityNot monotonic
2025-05-05T17:42:26.904484image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
54 3335
 
12.7%
67 2158
 
8.2%
53 2004
 
7.6%
66 1906
 
7.3%
55 1607
 
6.1%
50 1230
 
4.7%
56 1225
 
4.7%
65 1122
 
4.3%
59 1047
 
4.0%
60 1031
 
3.9%
Other values (26) 9512
36.3%
ValueCountFrequency (%)
0 1
 
< 0.1%
35 4
 
< 0.1%
36 6
 
< 0.1%
37 4
 
< 0.1%
38 3
 
< 0.1%
39 4
 
< 0.1%
40 50
0.2%
41 44
0.2%
42 62
0.2%
43 73
0.3%
ValueCountFrequency (%)
69 24
 
0.1%
68 82
 
0.3%
67 2158
8.2%
66 1906
7.3%
65 1122
4.3%
64 781
 
3.0%
63 742
 
2.8%
62 817
 
3.1%
61 960
3.7%
60 1031
3.9%

Gear Oil TemperatureLevel1 Avg. [°C]
Real number (ℝ)

High correlation 

Distinct29
Distinct (%)0.1%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean49.115025
Minimum0
Maximum62
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:26.969173image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile46
Q149
median49
Q350
95-th percentile51
Maximum62
Range62
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.7144559
Coefficient of variation (CV)0.034906954
Kurtosis41.292537
Mean49.115025
Median Absolute Deviation (MAD)0
Skewness-3.550648
Sum1285684
Variance2.939359
MonotonicityNot monotonic
2025-05-05T17:42:27.033788image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
49 16358
62.4%
50 3658
 
14.0%
51 3304
 
12.6%
48 728
 
2.8%
46 488
 
1.9%
47 350
 
1.3%
45 269
 
1.0%
44 206
 
0.8%
54 151
 
0.6%
43 128
 
0.5%
Other values (19) 537
 
2.0%
ValueCountFrequency (%)
0 1
 
< 0.1%
34 5
 
< 0.1%
35 15
 
0.1%
36 16
 
0.1%
37 18
 
0.1%
38 26
 
0.1%
39 24
 
0.1%
40 105
0.4%
41 50
0.2%
42 65
0.2%
ValueCountFrequency (%)
62 1
 
< 0.1%
60 2
 
< 0.1%
59 1
 
< 0.1%
58 1
 
< 0.1%
57 1
 
< 0.1%
56 4
 
< 0.1%
55 30
 
0.1%
54 151
0.6%
53 54
 
0.2%
52 118
0.5%
Distinct1
Distinct (%)< 0.1%
Missing31
Missing (%)0.1%
Memory size2.5 MiB
0.0
26177 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78531
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26177
99.9%
(Missing) 31
 
0.1%

Length

2025-05-05T17:42:27.098177image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:42:27.132929image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26177
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52354
66.7%
. 26177
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78531
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52354
66.7%
. 26177
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78531
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52354
66.7%
. 26177
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78531
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52354
66.7%
. 26177
33.3%

Gear Bearing TemperatureHSRotorEnd Avg. [°C]
Real number (ℝ)

High correlation 

Distinct38
Distinct (%)0.1%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean59.954922
Minimum0
Maximum74
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:27.175502image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile46
Q154
median59
Q369
95-th percentile72
Maximum74
Range74
Interquartile range (IQR)15

Descriptive statistics

Standard deviation8.7132673
Coefficient of variation (CV)0.14533031
Kurtosis-1.0737566
Mean59.954922
Median Absolute Deviation (MAD)7
Skewness-0.032807714
Sum1569440
Variance75.921027
MonotonicityNot monotonic
2025-05-05T17:42:27.245911image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
72 4114
 
15.7%
54 1624
 
6.2%
55 1414
 
5.4%
56 1275
 
4.9%
57 1149
 
4.4%
50 1065
 
4.1%
58 1024
 
3.9%
53 958
 
3.7%
71 856
 
3.3%
70 840
 
3.2%
Other values (28) 11858
45.2%
ValueCountFrequency (%)
0 1
 
< 0.1%
38 2
 
< 0.1%
39 32
 
0.1%
40 55
 
0.2%
41 60
 
0.2%
42 119
 
0.5%
43 124
 
0.5%
44 288
1.1%
45 320
1.2%
46 314
1.2%
ValueCountFrequency (%)
74 81
 
0.3%
73 144
 
0.5%
72 4114
15.7%
71 856
 
3.3%
70 840
 
3.2%
69 711
 
2.7%
68 670
 
2.6%
67 593
 
2.3%
66 605
 
2.3%
65 562
 
2.1%

Gear Bearing TemperatureHSGeneratorEnd Avg. [°C]
Real number (ℝ)

High correlation 

Distinct42
Distinct (%)0.2%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean59.632922
Minimum0
Maximum77
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:27.317420image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile46
Q154
median58
Q367
95-th percentile74
Maximum77
Range77
Interquartile range (IQR)13

Descriptive statistics

Standard deviation8.7584131
Coefficient of variation (CV)0.14687211
Kurtosis-0.79641933
Mean59.632922
Median Absolute Deviation (MAD)6
Skewness0.099211636
Sum1561011
Variance76.709801
MonotonicityNot monotonic
2025-05-05T17:42:27.391418image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
56 2198
 
8.4%
55 2013
 
7.7%
74 1511
 
5.8%
57 1450
 
5.5%
58 1169
 
4.5%
54 1134
 
4.3%
59 978
 
3.7%
50 965
 
3.7%
73 896
 
3.4%
72 885
 
3.4%
Other values (32) 12978
49.5%
ValueCountFrequency (%)
0 1
 
< 0.1%
37 5
 
< 0.1%
38 13
 
< 0.1%
39 54
 
0.2%
40 63
 
0.2%
41 90
 
0.3%
42 116
 
0.4%
43 160
0.6%
44 346
1.3%
45 268
1.0%
ValueCountFrequency (%)
77 1
 
< 0.1%
76 79
 
0.3%
75 393
 
1.5%
74 1511
5.8%
73 896
3.4%
72 885
3.4%
71 735
2.8%
70 591
 
2.3%
69 654
2.5%
68 577
 
2.2%

Gear Bearing TemperatureHSMiddle Avg. [°C]
Real number (ℝ)

High correlation 

Distinct41
Distinct (%)0.2%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean59.01891
Minimum0
Maximum76
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:27.596921image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile47
Q155
median56
Q365
95-th percentile74
Maximum76
Range76
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.2680298
Coefficient of variation (CV)0.1400912
Kurtosis-0.57639719
Mean59.01891
Median Absolute Deviation (MAD)5
Skewness0.31067928
Sum1544938
Variance68.360316
MonotonicityNot monotonic
2025-05-05T17:42:27.668414image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
55 4447
 
17.0%
56 2387
 
9.1%
74 1670
 
6.4%
57 1165
 
4.4%
58 939
 
3.6%
54 881
 
3.4%
59 877
 
3.3%
60 804
 
3.1%
51 802
 
3.1%
73 794
 
3.0%
Other values (31) 11411
43.5%
ValueCountFrequency (%)
0 1
 
< 0.1%
37 2
 
< 0.1%
38 8
 
< 0.1%
39 17
 
0.1%
40 68
 
0.3%
41 80
 
0.3%
42 104
 
0.4%
43 121
0.5%
44 264
1.0%
45 283
1.1%
ValueCountFrequency (%)
76 58
 
0.2%
75 72
 
0.3%
74 1670
6.4%
73 794
3.0%
72 739
2.8%
71 559
 
2.1%
70 562
 
2.1%
69 493
 
1.9%
68 469
 
1.8%
67 500
 
1.9%

Gear Bearing TemperatureHollowShaftRotor Avg. [°C]
Real number (ℝ)

High correlation 

Distinct33
Distinct (%)0.1%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean61.609887
Minimum0
Maximum70
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:27.736863image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile48
Q161
median62
Q367
95-th percentile69
Maximum70
Range70
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.5810148
Coefficient of variation (CV)0.10681751
Kurtosis0.72732842
Mean61.609887
Median Absolute Deviation (MAD)4
Skewness-1.0734253
Sum1612762
Variance43.309756
MonotonicityNot monotonic
2025-05-05T17:42:27.804878image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
69 4628
17.7%
62 3948
15.1%
61 3470
13.2%
63 2093
 
8.0%
64 1373
 
5.2%
65 1243
 
4.7%
67 1109
 
4.2%
66 1012
 
3.9%
68 967
 
3.7%
52 657
 
2.5%
Other values (23) 5677
21.7%
ValueCountFrequency (%)
0 1
 
< 0.1%
39 3
 
< 0.1%
40 12
 
< 0.1%
41 64
 
0.2%
42 76
 
0.3%
43 91
 
0.3%
44 191
0.7%
45 194
0.7%
46 260
1.0%
47 292
1.1%
ValueCountFrequency (%)
70 89
 
0.3%
69 4628
17.7%
68 967
 
3.7%
67 1109
 
4.2%
66 1012
 
3.9%
65 1243
 
4.7%
64 1373
 
5.2%
63 2093
8.0%
62 3948
15.1%
61 3470
13.2%
Distinct39
Distinct (%)0.1%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean62.434618
Minimum0
Maximum75
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:27.874382image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile46
Q161
median63
Q369
95-th percentile73
Maximum75
Range75
Interquartile range (IQR)8

Descriptive statistics

Standard deviation8.2212267
Coefficient of variation (CV)0.13167738
Kurtosis0.1617917
Mean62.434618
Median Absolute Deviation (MAD)4
Skewness-0.81014378
Sum1634351
Variance67.588568
MonotonicityNot monotonic
2025-05-05T17:42:27.947281image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
62 4006
15.3%
63 2941
 
11.2%
73 2264
 
8.6%
72 1597
 
6.1%
61 1434
 
5.5%
64 1339
 
5.1%
65 1072
 
4.1%
71 868
 
3.3%
66 804
 
3.1%
70 792
 
3.0%
Other values (29) 9060
34.6%
ValueCountFrequency (%)
0 1
 
< 0.1%
38 22
 
0.1%
39 53
 
0.2%
40 114
 
0.4%
41 92
 
0.4%
42 163
0.6%
43 219
0.8%
44 262
1.0%
45 302
1.2%
46 351
1.3%
ValueCountFrequency (%)
75 58
 
0.2%
74 383
 
1.5%
73 2264
8.6%
72 1597
6.1%
71 868
 
3.3%
70 792
 
3.0%
69 748
 
2.9%
68 746
 
2.8%
67 767
 
2.9%
66 804
 
3.1%

Nacelle Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct30
Distinct (%)0.1%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean31.117661
Minimum0
Maximum47
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:28.015493image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile24
Q128
median32
Q334
95-th percentile36
Maximum47
Range47
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.1419901
Coefficient of variation (CV)0.13310738
Kurtosis-0.068593929
Mean31.117661
Median Absolute Deviation (MAD)3
Skewness-0.076512859
Sum814567
Variance17.156082
MonotonicityNot monotonic
2025-05-05T17:42:28.079879image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
34 5319
20.3%
35 3010
11.5%
33 2100
 
8.0%
24 2038
 
7.8%
32 1860
 
7.1%
31 1689
 
6.4%
29 1553
 
5.9%
28 1519
 
5.8%
30 1458
 
5.6%
27 1414
 
5.4%
Other values (20) 4217
16.1%
ValueCountFrequency (%)
0 1
 
< 0.1%
19 12
 
< 0.1%
20 23
 
0.1%
21 28
 
0.1%
22 10
 
< 0.1%
23 76
 
0.3%
24 2038
7.8%
25 1251
4.8%
26 1164
4.4%
27 1414
5.4%
ValueCountFrequency (%)
47 3
 
< 0.1%
46 8
 
< 0.1%
45 49
 
0.2%
44 80
 
0.3%
43 61
 
0.2%
42 96
0.4%
41 151
0.6%
40 99
0.4%
39 149
0.6%
38 210
0.8%

Avg. direction [°]
Real number (ℝ)

High correlation 

Distinct3415
Distinct (%)13.0%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean214.72817
Minimum0
Maximum359.6
Zeros101
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:28.151821image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile38.8
Q1123.6
median235
Q3310
95-th percentile342.12
Maximum359.6
Range359.6
Interquartile range (IQR)186.4

Descriptive statistics

Standard deviation101.91909
Coefficient of variation (CV)0.47464238
Kurtosis-1.2397883
Mean214.72817
Median Absolute Deviation (MAD)86.9
Skewness-0.32602168
Sum5620939.3
Variance10387.501
MonotonicityNot monotonic
2025-05-05T17:42:28.232286image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
343 112
 
0.4%
300.3 109
 
0.4%
356.8 106
 
0.4%
116.5 103
 
0.4%
0 101
 
0.4%
352.4 76
 
0.3%
330.4 69
 
0.3%
335.2 69
 
0.3%
16.9 66
 
0.3%
176.2 65
 
0.2%
Other values (3405) 25301
96.5%
ValueCountFrequency (%)
0 101
0.4%
0.1 3
 
< 0.1%
0.3 1
 
< 0.1%
0.4 4
 
< 0.1%
0.8 8
 
< 0.1%
1.1 50
0.2%
1.5 8
 
< 0.1%
1.6 1
 
< 0.1%
1.8 6
 
< 0.1%
2.1 1
 
< 0.1%
ValueCountFrequency (%)
359.6 5
 
< 0.1%
359.4 9
< 0.1%
359.1 1
 
< 0.1%
359 17
0.1%
358.7 1
 
< 0.1%
358.3 5
 
< 0.1%
358.2 1
 
< 0.1%
358.1 1
 
< 0.1%
358 6
 
< 0.1%
357.8 2
 
< 0.1%

Rotor RPM Max. [RPM]
Real number (ℝ)

High correlation  Zeros 

Distinct159
Distinct (%)0.6%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean11.608527
Minimum0
Maximum20.4
Zeros1276
Zeros (%)4.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:28.313098image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1
Q110.1
median12.9
Q315.8
95-th percentile16.6
Maximum20.4
Range20.4
Interquartile range (IQR)5.7

Descriptive statistics

Standard deviation5.1294875
Coefficient of variation (CV)0.4418724
Kurtosis0.099320271
Mean11.608527
Median Absolute Deviation (MAD)2.8
Skewness-1.127319
Sum303876.4
Variance26.311642
MonotonicityNot monotonic
2025-05-05T17:42:28.393851image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.1 2248
 
8.6%
15.7 1725
 
6.6%
15.8 1700
 
6.5%
15.9 1393
 
5.3%
0 1276
 
4.9%
10.2 1240
 
4.7%
16 768
 
2.9%
15.6 668
 
2.5%
10.3 487
 
1.9%
16.1 354
 
1.4%
Other values (149) 14318
54.6%
ValueCountFrequency (%)
0 1276
4.9%
0.1 196
 
0.7%
0.2 138
 
0.5%
0.3 99
 
0.4%
0.4 54
 
0.2%
0.5 47
 
0.2%
0.6 44
 
0.2%
0.7 35
 
0.1%
0.8 31
 
0.1%
0.9 28
 
0.1%
ValueCountFrequency (%)
20.4 1
 
< 0.1%
18.2 1
 
< 0.1%
18.1 3
 
< 0.1%
18 4
 
< 0.1%
17.9 3
 
< 0.1%
17.8 6
 
< 0.1%
17.7 12
 
< 0.1%
17.6 20
0.1%
17.5 15
 
0.1%
17.4 38
0.1%

Rotor RPM Min. [RPM]
Real number (ℝ)

High correlation  Skewed  Zeros 

Distinct137
Distinct (%)0.5%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean9.6564885
Minimum0
Maximum6553.5
Zeros2183
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:28.473437image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19.5
median10
Q312.8
95-th percentile15.4
Maximum6553.5
Range6553.5
Interquartile range (IQR)3.3

Descriptive statistics

Standard deviation40.741698
Coefficient of variation (CV)4.2191008
Kurtosis25428.465
Mean9.6564885
Median Absolute Deviation (MAD)2.3
Skewness158.30942
Sum252777.9
Variance1659.886
MonotonicityNot monotonic
2025-05-05T17:42:28.550396image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.9 3371
 
12.9%
10 2520
 
9.6%
0 2183
 
8.3%
9.8 1566
 
6.0%
15.4 782
 
3.0%
11.9 704
 
2.7%
15.3 642
 
2.4%
15.5 555
 
2.1%
12 489
 
1.9%
9.7 478
 
1.8%
Other values (127) 12887
49.2%
ValueCountFrequency (%)
0 2183
8.3%
0.1 102
 
0.4%
0.2 70
 
0.3%
0.3 51
 
0.2%
0.4 45
 
0.2%
0.5 63
 
0.2%
0.6 96
 
0.4%
0.7 116
 
0.4%
0.8 121
 
0.5%
0.9 104
 
0.4%
ValueCountFrequency (%)
6553.5 1
 
< 0.1%
15.6 165
 
0.6%
15.5 555
2.1%
15.4 782
3.0%
15.3 642
2.4%
15.2 418
1.6%
15.1 396
1.5%
15 339
1.3%
14.9 334
1.3%
14.8 275
 
1.0%

Rotor RPM Avg. [RPM]
Real number (ℝ)

High correlation  Zeros 

Distinct158
Distinct (%)0.6%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean10.462708
Minimum0
Maximum15.7
Zeros1702
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:28.626622image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median10.8
Q315.1
95-th percentile15.6
Maximum15.7
Range15.7
Interquartile range (IQR)5.1

Descriptive statistics

Standard deviation4.966218
Coefficient of variation (CV)0.47465896
Kurtosis-0.26488687
Mean10.462708
Median Absolute Deviation (MAD)3.5
Skewness-0.92337003
Sum273882.3
Variance24.663321
MonotonicityNot monotonic
2025-05-05T17:42:28.707071image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15.6 4886
18.6%
10 4632
 
17.7%
0 1702
 
6.5%
10.1 703
 
2.7%
15.5 577
 
2.2%
10.2 491
 
1.9%
15.4 375
 
1.4%
10.3 371
 
1.4%
15.3 285
 
1.1%
10.4 284
 
1.1%
Other values (148) 11871
45.3%
ValueCountFrequency (%)
0 1702
6.5%
0.1 145
 
0.6%
0.2 99
 
0.4%
0.3 56
 
0.2%
0.4 40
 
0.2%
0.5 39
 
0.1%
0.6 39
 
0.1%
0.7 44
 
0.2%
0.8 41
 
0.2%
0.9 49
 
0.2%
ValueCountFrequency (%)
15.7 39
 
0.1%
15.6 4886
18.6%
15.5 577
 
2.2%
15.4 375
 
1.4%
15.3 285
 
1.1%
15.2 245
 
0.9%
15.1 193
 
0.7%
15 180
 
0.7%
14.9 168
 
0.6%
14.8 167
 
0.6%

Rotor RPM StdDev [RPM]
Real number (ℝ)

High correlation  Zeros 

Distinct74
Distinct (%)0.3%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean0.50396531
Minimum0
Maximum7.7
Zeros7468
Zeros (%)28.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:28.788239image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.2
Q30.7
95-th percentile1.9
Maximum7.7
Range7.7
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation0.77553388
Coefficient of variation (CV)1.5388636
Kurtosis13.471924
Mean0.50396531
Median Absolute Deviation (MAD)0.2
Skewness3.1796647
Sum13192.3
Variance0.6014528
MonotonicityNot monotonic
2025-05-05T17:42:28.867988image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7468
28.5%
0.1 3593
13.7%
0.2 2451
 
9.4%
0.3 1873
 
7.1%
0.4 1570
 
6.0%
0.5 1237
 
4.7%
0.6 1111
 
4.2%
0.7 1037
 
4.0%
0.8 915
 
3.5%
0.9 853
 
3.3%
Other values (64) 4069
15.5%
ValueCountFrequency (%)
0 7468
28.5%
0.1 3593
13.7%
0.2 2451
 
9.4%
0.3 1873
 
7.1%
0.4 1570
 
6.0%
0.5 1237
 
4.7%
0.6 1111
 
4.2%
0.7 1037
 
4.0%
0.8 915
 
3.5%
0.9 853
 
3.3%
ValueCountFrequency (%)
7.7 1
 
< 0.1%
7.6 2
 
< 0.1%
7.3 2
 
< 0.1%
7.1 1
 
< 0.1%
7 2
 
< 0.1%
6.9 2
 
< 0.1%
6.8 6
< 0.1%
6.7 3
< 0.1%
6.6 3
< 0.1%
6.5 7
< 0.1%

Ambient WindSpeed Max. [m/s]
Real number (ℝ)

High correlation 

Distinct368
Distinct (%)1.4%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean10.163372
Minimum0
Maximum41.4
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:29.083058image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.3
Q15.7
median8.6
Q313.2
95-th percentile22
Maximum41.4
Range41.4
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation6.0427985
Coefficient of variation (CV)0.59456627
Kurtosis1.4395871
Mean10.163372
Median Absolute Deviation (MAD)3.4
Skewness1.2187523
Sum266046.6
Variance36.515413
MonotonicityNot monotonic
2025-05-05T17:42:29.157894image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.9 266
 
1.0%
6.6 261
 
1.0%
7.9 259
 
1.0%
8.4 255
 
1.0%
7.6 254
 
1.0%
7.8 252
 
1.0%
5.1 250
 
1.0%
7.7 246
 
0.9%
5.2 246
 
0.9%
7.3 243
 
0.9%
Other values (358) 23645
90.2%
ValueCountFrequency (%)
0 1
 
< 0.1%
0.8 3
 
< 0.1%
0.9 1
 
< 0.1%
1 5
 
< 0.1%
1.1 10
< 0.1%
1.2 8
 
< 0.1%
1.3 9
 
< 0.1%
1.4 11
< 0.1%
1.5 20
0.1%
1.6 23
0.1%
ValueCountFrequency (%)
41.4 1
 
< 0.1%
39.6 1
 
< 0.1%
39 1
 
< 0.1%
38.9 1
 
< 0.1%
38.5 1
 
< 0.1%
38.3 1
 
< 0.1%
38 1
 
< 0.1%
37.9 1
 
< 0.1%
37.6 1
 
< 0.1%
37.2 3
< 0.1%

Ambient WindSpeed Min. [m/s]
Real number (ℝ)

High correlation  Skewed 

Distinct191
Distinct (%)0.7%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean4.3077969
Minimum0
Maximum6553.5
Zeros28
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:29.231682image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.6
Q11.8
median3.4
Q35.6
95-th percentile9.5
Maximum6553.5
Range6553.5
Interquartile range (IQR)3.8

Descriptive statistics

Standard deviation40.584606
Coefficient of variation (CV)9.4211976
Kurtosis25909.056
Mean4.3077969
Median Absolute Deviation (MAD)1.8
Skewness160.54992
Sum112765.2
Variance1647.1102
MonotonicityNot monotonic
2025-05-05T17:42:29.307736image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.6 516
 
2.0%
1.4 498
 
1.9%
1.5 498
 
1.9%
1.3 486
 
1.9%
1.2 481
 
1.8%
1.7 480
 
1.8%
3.6 445
 
1.7%
1.8 442
 
1.7%
2 441
 
1.7%
1.1 439
 
1.7%
Other values (181) 21451
81.8%
ValueCountFrequency (%)
0 28
 
0.1%
0.3 378
1.4%
0.4 361
1.4%
0.5 309
1.2%
0.6 292
1.1%
0.7 309
1.2%
0.8 363
1.4%
0.9 392
1.5%
1 410
1.6%
1.1 439
1.7%
ValueCountFrequency (%)
6553.5 1
 
< 0.1%
19.7 1
 
< 0.1%
19.3 1
 
< 0.1%
19.2 1
 
< 0.1%
19.1 1
 
< 0.1%
19 1
 
< 0.1%
18.8 1
 
< 0.1%
18.7 1
 
< 0.1%
18.6 1
 
< 0.1%
18.4 4
< 0.1%

Ambient WindSpeed Avg. [m/s]
Real number (ℝ)

High correlation 

Distinct286
Distinct (%)1.1%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean7.0460099
Minimum0
Maximum31.6
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:29.385133image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.9
Q13.8
median5.8
Q39.1
95-th percentile16.3
Maximum31.6
Range31.6
Interquartile range (IQR)5.3

Descriptive statistics

Standard deviation4.5566072
Coefficient of variation (CV)0.64669327
Kurtosis2.0149904
Mean7.0460099
Median Absolute Deviation (MAD)2.4
Skewness1.3626132
Sum184443.4
Variance20.762669
MonotonicityNot monotonic
2025-05-05T17:42:29.462359image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.1 405
 
1.5%
3.8 399
 
1.5%
4.2 392
 
1.5%
4 390
 
1.5%
3.7 380
 
1.4%
3.3 357
 
1.4%
4.4 352
 
1.3%
3.9 349
 
1.3%
4.3 348
 
1.3%
4.6 332
 
1.3%
Other values (276) 22473
85.7%
ValueCountFrequency (%)
0 1
 
< 0.1%
0.4 5
 
< 0.1%
0.5 17
 
0.1%
0.6 19
 
0.1%
0.7 38
0.1%
0.8 43
0.2%
0.9 49
0.2%
1 57
0.2%
1.1 70
0.3%
1.2 85
0.3%
ValueCountFrequency (%)
31.6 1
< 0.1%
30.9 2
< 0.1%
30.4 1
< 0.1%
30.3 1
< 0.1%
30.1 1
< 0.1%
30 1
< 0.1%
29.8 1
< 0.1%
29.2 1
< 0.1%
28.9 2
< 0.1%
28.7 1
< 0.1%

Ambient WindSpeed StdDev [m/s]
Real number (ℝ)

High correlation 

Distinct49
Distinct (%)0.2%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean0.97958513
Minimum0
Maximum5.4
Zeros44
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:29.539914image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q10.5
median0.8
Q31.3
95-th percentile2.3
Maximum5.4
Range5.4
Interquartile range (IQR)0.8

Descriptive statistics

Standard deviation0.67248099
Coefficient of variation (CV)0.68649571
Kurtosis1.676076
Mean0.97958513
Median Absolute Deviation (MAD)0.4
Skewness1.3100258
Sum25642.6
Variance0.45223068
MonotonicityNot monotonic
2025-05-05T17:42:29.616398image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0.5 2546
 
9.7%
0.6 2484
 
9.5%
0.7 2190
 
8.4%
0.4 2017
 
7.7%
0.3 1741
 
6.6%
0.8 1734
 
6.6%
0.9 1587
 
6.1%
1 1283
 
4.9%
1.1 1187
 
4.5%
0.2 1159
 
4.4%
Other values (39) 8249
31.5%
ValueCountFrequency (%)
0 44
 
0.2%
0.1 364
 
1.4%
0.2 1159
4.4%
0.3 1741
6.6%
0.4 2017
7.7%
0.5 2546
9.7%
0.6 2484
9.5%
0.7 2190
8.4%
0.8 1734
6.6%
0.9 1587
6.1%
ValueCountFrequency (%)
5.4 1
 
< 0.1%
5.3 1
 
< 0.1%
4.8 1
 
< 0.1%
4.6 1
 
< 0.1%
4.5 1
 
< 0.1%
4.4 2
 
< 0.1%
4.3 1
 
< 0.1%
4.1 1
 
< 0.1%
4 5
 
< 0.1%
3.9 13
< 0.1%

Ambient WindDir Relative Avg. [°]
Real number (ℝ)

High correlation 

Distinct1936
Distinct (%)7.4%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean-3.5539405
Minimum-179.7
Maximum179.7
Zeros177
Zeros (%)0.7%
Negative21775
Negative (%)83.1%
Memory size1.4 MiB
2025-05-05T17:42:29.692044image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-179.7
5-th percentile-25.9
Q1-4.5
median-2.8
Q3-1
95-th percentile12.12
Maximum179.7
Range359.4
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation25.464778
Coefficient of variation (CV)-7.1652236
Kurtosis20.88992
Mean-3.5539405
Median Absolute Deviation (MAD)1.7
Skewness-0.35353921
Sum-93031.5
Variance648.45493
MonotonicityNot monotonic
2025-05-05T17:42:29.767412image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-2.9 459
 
1.8%
-3 447
 
1.7%
-2.8 441
 
1.7%
-3.2 440
 
1.7%
-2.7 440
 
1.7%
-2.4 440
 
1.7%
-3.5 428
 
1.6%
-2.6 427
 
1.6%
-2.3 425
 
1.6%
-2.2 424
 
1.6%
Other values (1926) 21806
83.2%
ValueCountFrequency (%)
-179.7 1
< 0.1%
-179.6 1
< 0.1%
-179.4 2
< 0.1%
-179.3 1
< 0.1%
-178.4 1
< 0.1%
-177.9 1
< 0.1%
-177.8 1
< 0.1%
-177.4 1
< 0.1%
-176.9 1
< 0.1%
-176.8 1
< 0.1%
ValueCountFrequency (%)
179.7 1
< 0.1%
179.6 2
< 0.1%
178.9 1
< 0.1%
178.5 1
< 0.1%
177.5 2
< 0.1%
177.1 1
< 0.1%
176.9 1
< 0.1%
176.3 2
< 0.1%
176.1 1
< 0.1%
175.3 2
< 0.1%

Ambient WindDir Absolute Avg. [°]
Real number (ℝ)

High correlation 

Distinct3545
Distinct (%)13.5%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean213.57016
Minimum0
Maximum359.9
Zeros5
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:29.843426image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile38.6
Q1121.4
median235
Q3308.5
95-th percentile342.3
Maximum359.9
Range359.9
Interquartile range (IQR)187.1

Descriptive statistics

Standard deviation102.6488
Coefficient of variation (CV)0.48063267
Kurtosis-1.2528411
Mean213.57016
Median Absolute Deviation (MAD)86.5
Skewness-0.32510512
Sum5590626.1
Variance10536.776
MonotonicityNot monotonic
2025-05-05T17:42:29.923247image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
303.7 31
 
0.1%
303.5 29
 
0.1%
329.8 28
 
0.1%
301.5 27
 
0.1%
325.7 26
 
0.1%
319.2 26
 
0.1%
319.4 26
 
0.1%
311.4 26
 
0.1%
308.3 25
 
0.1%
327.3 25
 
0.1%
Other values (3535) 25908
98.9%
(Missing) 31
 
0.1%
ValueCountFrequency (%)
0 5
< 0.1%
0.1 8
< 0.1%
0.2 3
 
< 0.1%
0.3 4
< 0.1%
0.4 8
< 0.1%
0.5 7
< 0.1%
0.6 2
 
< 0.1%
0.7 5
< 0.1%
0.8 3
 
< 0.1%
0.9 7
< 0.1%
ValueCountFrequency (%)
359.9 5
< 0.1%
359.8 6
< 0.1%
359.7 3
 
< 0.1%
359.6 4
 
< 0.1%
359.5 11
< 0.1%
359.4 8
< 0.1%
359.3 7
< 0.1%
359.2 7
< 0.1%
359.1 5
< 0.1%
359 6
< 0.1%

Ambient Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct32
Distinct (%)0.1%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean12.767773
Minimum0
Maximum32
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:29.994983image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q18
median12
Q316
95-th percentile23
Maximum32
Range32
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.6025233
Coefficient of variation (CV)0.43880191
Kurtosis0.26648618
Mean12.767773
Median Absolute Deviation (MAD)4
Skewness0.77675131
Sum334222
Variance31.388268
MonotonicityNot monotonic
2025-05-05T17:42:30.058650image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
9 2516
 
9.6%
8 2341
 
8.9%
10 2159
 
8.2%
7 1925
 
7.3%
16 1751
 
6.7%
11 1478
 
5.6%
15 1471
 
5.6%
14 1364
 
5.2%
13 1312
 
5.0%
12 1252
 
4.8%
Other values (22) 8608
32.8%
ValueCountFrequency (%)
0 1
 
< 0.1%
2 24
 
0.1%
3 158
 
0.6%
4 386
 
1.5%
5 680
 
2.6%
6 1215
4.6%
7 1925
7.3%
8 2341
8.9%
9 2516
9.6%
10 2159
8.2%
ValueCountFrequency (%)
32 19
 
0.1%
31 49
 
0.2%
30 111
0.4%
29 140
0.5%
28 177
0.7%
27 254
1.0%
26 110
0.4%
25 233
0.9%
24 150
0.6%
23 238
0.9%
Distinct1
Distinct (%)< 0.1%
Missing31
Missing (%)0.1%
Memory size2.5 MiB
0.0
26177 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78531
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26177
99.9%
(Missing) 31
 
0.1%

Length

2025-05-05T17:42:30.122560image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:42:30.155403image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26177
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52354
66.7%
. 26177
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78531
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52354
66.7%
. 26177
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78531
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52354
66.7%
. 26177
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78531
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52354
66.7%
. 26177
33.3%

Grid InverterPhase1 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct29
Distinct (%)0.1%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean35.731864
Minimum0
Maximum56
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:30.193581image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile29
Q132
median34
Q339
95-th percentile47
Maximum56
Range56
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.3804769
Coefficient of variation (CV)0.15057924
Kurtosis0.62504025
Mean35.731864
Median Absolute Deviation (MAD)3
Skewness0.99324011
Sum935353
Variance28.949532
MonotonicityNot monotonic
2025-05-05T17:42:30.252769image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
33 2596
 
9.9%
31 2379
 
9.1%
34 2379
 
9.1%
32 2307
 
8.8%
30 2136
 
8.2%
29 1805
 
6.9%
38 1673
 
6.4%
37 1551
 
5.9%
35 1405
 
5.4%
36 1255
 
4.8%
Other values (19) 6691
25.5%
ValueCountFrequency (%)
0 1
 
< 0.1%
29 1805
6.9%
30 2136
8.2%
31 2379
9.1%
32 2307
8.8%
33 2596
9.9%
34 2379
9.1%
35 1405
5.4%
36 1255
4.8%
37 1551
5.9%
ValueCountFrequency (%)
56 28
 
0.1%
55 35
 
0.1%
54 21
 
0.1%
53 19
 
0.1%
52 30
 
0.1%
51 204
0.8%
50 254
1.0%
49 312
1.2%
48 301
1.1%
47 266
1.0%

Grid RotorInvPhase1 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct30
Distinct (%)0.1%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean35.582038
Minimum0
Maximum57
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:30.313575image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile29
Q131
median33
Q339
95-th percentile47
Maximum57
Range57
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.7186882
Coefficient of variation (CV)0.1607184
Kurtosis0.3634242
Mean35.582038
Median Absolute Deviation (MAD)3
Skewness0.99715912
Sum931431
Variance32.703395
MonotonicityNot monotonic
2025-05-05T17:42:30.375801image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
31 3634
13.9%
32 3034
11.6%
30 2721
 
10.4%
33 2033
 
7.8%
29 1757
 
6.7%
38 1326
 
5.1%
39 1292
 
4.9%
34 1235
 
4.7%
37 1198
 
4.6%
40 1003
 
3.8%
Other values (20) 6944
26.5%
ValueCountFrequency (%)
0 1
 
< 0.1%
29 1757
6.7%
30 2721
10.4%
31 3634
13.9%
32 3034
11.6%
33 2033
7.8%
34 1235
 
4.7%
35 929
 
3.5%
36 949
 
3.6%
37 1198
 
4.6%
ValueCountFrequency (%)
57 14
 
0.1%
56 43
 
0.2%
55 15
 
0.1%
54 20
 
0.1%
53 21
 
0.1%
52 103
 
0.4%
51 196
0.7%
50 314
1.2%
49 298
1.1%
48 271
1.0%

Grid RotorInvPhase2 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct30
Distinct (%)0.1%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean36.602437
Minimum0
Maximum57
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:30.571018image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile31
Q132
median35
Q340
95-th percentile47.2
Maximum57
Range57
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.3334902
Coefficient of variation (CV)0.14571407
Kurtosis0.39809088
Mean36.602437
Median Absolute Deviation (MAD)3
Skewness0.96882309
Sum958142
Variance28.446117
MonotonicityNot monotonic
2025-05-05T17:42:30.632325image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
32 4046
15.4%
33 3898
14.9%
34 2126
 
8.1%
31 2043
 
7.8%
40 1512
 
5.8%
39 1394
 
5.3%
35 1283
 
4.9%
41 1180
 
4.5%
38 1140
 
4.3%
37 988
 
3.8%
Other values (20) 6567
25.1%
ValueCountFrequency (%)
0 1
 
< 0.1%
29 156
 
0.6%
30 722
 
2.8%
31 2043
7.8%
32 4046
15.4%
33 3898
14.9%
34 2126
8.1%
35 1283
 
4.9%
36 938
 
3.6%
37 988
 
3.8%
ValueCountFrequency (%)
57 20
 
0.1%
56 38
 
0.1%
55 17
 
0.1%
54 22
 
0.1%
53 23
 
0.1%
52 112
 
0.4%
51 184
0.7%
50 307
1.2%
49 291
1.1%
48 295
1.1%

Grid RotorInvPhase3 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct31
Distinct (%)0.1%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean36.771173
Minimum0
Maximum57
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:30.695098image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile31
Q133
median35
Q340
95-th percentile48
Maximum57
Range57
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.3823382
Coefficient of variation (CV)0.14637385
Kurtosis0.35430231
Mean36.771173
Median Absolute Deviation (MAD)3
Skewness0.96152122
Sum962559
Variance28.969565
MonotonicityNot monotonic
2025-05-05T17:42:30.754922image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
33 4043
15.4%
32 3721
14.2%
34 2360
 
9.0%
31 1899
 
7.2%
40 1510
 
5.8%
35 1353
 
5.2%
39 1332
 
5.1%
41 1212
 
4.6%
38 1088
 
4.2%
36 1005
 
3.8%
Other values (21) 6654
25.4%
ValueCountFrequency (%)
0 1
 
< 0.1%
28 1
 
< 0.1%
29 155
 
0.6%
30 566
 
2.2%
31 1899
7.2%
32 3721
14.2%
33 4043
15.4%
34 2360
9.0%
35 1353
 
5.2%
36 1005
 
3.8%
ValueCountFrequency (%)
57 21
 
0.1%
56 38
 
0.1%
55 17
 
0.1%
54 25
 
0.1%
53 21
 
0.1%
52 144
0.5%
51 218
0.8%
50 336
1.3%
49 293
1.1%
48 279
1.1%

Grid Production Power Avg. [W]
Real number (ℝ)

High correlation 

Distinct12328
Distinct (%)47.1%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean735.13365
Minimum-19.2
Maximum3001.1
Zeros3
Zeros (%)< 0.1%
Negative5034
Negative (%)19.2%
Memory size1.4 MiB
2025-05-05T17:42:30.826220image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-19.2
5-th percentile-13.3
Q147.2
median309.8
Q31122.3
95-th percentile2885.12
Maximum3001.1
Range3020.3
Interquartile range (IQR)1075.1

Descriptive statistics

Standard deviation915.28703
Coefficient of variation (CV)1.2450621
Kurtosis0.31821739
Mean735.13365
Median Absolute Deviation (MAD)322.3
Skewness1.2665209
Sum19243594
Variance837750.35
MonotonicityNot monotonic
2025-05-05T17:42:30.905042image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-12.7 364
 
1.4%
-12.6 341
 
1.3%
-12.8 303
 
1.2%
-13.2 286
 
1.1%
-13 281
 
1.1%
-13.3 270
 
1.0%
-12.9 269
 
1.0%
-12.5 252
 
1.0%
-13.1 245
 
0.9%
-13.4 211
 
0.8%
Other values (12318) 23355
89.1%
ValueCountFrequency (%)
-19.2 1
< 0.1%
-18.6 1
< 0.1%
-18.3 1
< 0.1%
-18.1 2
< 0.1%
-18 2
< 0.1%
-17.9 1
< 0.1%
-17.7 1
< 0.1%
-17.4 1
< 0.1%
-17.3 1
< 0.1%
-17.1 1
< 0.1%
ValueCountFrequency (%)
3001.1 1
 
< 0.1%
3000.8 2
 
< 0.1%
3000.7 2
 
< 0.1%
3000.6 3
 
< 0.1%
3000.5 24
 
0.1%
3000.4 70
0.3%
3000.3 86
0.3%
3000.2 45
0.2%
3000.1 27
 
0.1%
3000 24
 
0.1%

Grid Production CosPhi Avg.
Real number (ℝ)

High correlation 

Distinct11
Distinct (%)< 0.1%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean0.90705963
Minimum0
Maximum1
Zeros86
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:30.967735image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.6
Q10.9
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation0.18219737
Coefficient of variation (CV)0.20086592
Kurtosis5.6777836
Mean0.90705963
Median Absolute Deviation (MAD)0
Skewness-2.2966983
Sum23744.1
Variance0.033195881
MonotonicityNot monotonic
2025-05-05T17:42:31.018923image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 19217
73.3%
0.7 4089
 
15.6%
0.9 653
 
2.5%
0.8 571
 
2.2%
0.6 410
 
1.6%
0.4 301
 
1.1%
0.5 265
 
1.0%
0.3 227
 
0.9%
0.1 183
 
0.7%
0.2 175
 
0.7%
ValueCountFrequency (%)
0 86
 
0.3%
0.1 183
 
0.7%
0.2 175
 
0.7%
0.3 227
 
0.9%
0.4 301
 
1.1%
0.5 265
 
1.0%
0.6 410
 
1.6%
0.7 4089
15.6%
0.8 571
 
2.2%
0.9 653
 
2.5%
ValueCountFrequency (%)
1 19217
73.3%
0.9 653
 
2.5%
0.8 571
 
2.2%
0.7 4089
 
15.6%
0.6 410
 
1.6%
0.5 265
 
1.0%
0.4 301
 
1.1%
0.3 227
 
0.9%
0.2 175
 
0.7%
0.1 183
 
0.7%

Grid Production Frequency Avg. [Hz]
Categorical

High correlation  Imbalance 

Distinct4
Distinct (%)< 0.1%
Missing31
Missing (%)0.1%
Memory size2.5 MiB
50.0
26041 
49.9
 
130
50.1
 
5
0.0
 
1

Length

Max length4
Median length4
Mean length3.9999618
Min length3

Characters and Unicode

Total characters104707
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row50.0
2nd row50.0
3rd row50.0
4th row50.0
5th row50.0

Common Values

ValueCountFrequency (%)
50.0 26041
99.4%
49.9 130
 
0.5%
50.1 5
 
< 0.1%
0.0 1
 
< 0.1%
(Missing) 31
 
0.1%

Length

2025-05-05T17:42:31.076214image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:42:31.119461image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
50.0 26041
99.5%
49.9 130
 
0.5%
50.1 5
 
< 0.1%
0.0 1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 52089
49.7%
. 26177
25.0%
5 26046
24.9%
9 260
 
0.2%
4 130
 
0.1%
1 5
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 104707
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52089
49.7%
. 26177
25.0%
5 26046
24.9%
9 260
 
0.2%
4 130
 
0.1%
1 5
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 104707
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52089
49.7%
. 26177
25.0%
5 26046
24.9%
9 260
 
0.2%
4 130
 
0.1%
1 5
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 104707
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52089
49.7%
. 26177
25.0%
5 26046
24.9%
9 260
 
0.2%
4 130
 
0.1%
1 5
 
< 0.1%

Grid Production VoltagePhase1 Avg. [V]
Real number (ℝ)

High correlation  Skewed 

Distinct386
Distinct (%)1.5%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean576.6712
Minimum0
Maximum604.5
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:31.176651image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile567.8
Q1572.2
median576.6
Q3580.4
95-th percentile586.8
Maximum604.5
Range604.5
Interquartile range (IQR)8.2

Descriptive statistics

Standard deviation6.9450945
Coefficient of variation (CV)0.012043422
Kurtosis1815.3914
Mean576.6712
Median Absolute Deviation (MAD)4
Skewness-21.493238
Sum15095522
Variance48.234338
MonotonicityNot monotonic
2025-05-05T17:42:31.256271image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
578.1 205
 
0.8%
578 203
 
0.8%
576.8 196
 
0.7%
577.9 193
 
0.7%
577.5 192
 
0.7%
576.2 192
 
0.7%
577.6 186
 
0.7%
577 183
 
0.7%
575.3 182
 
0.7%
579 180
 
0.7%
Other values (376) 24265
92.6%
ValueCountFrequency (%)
0 1
 
< 0.1%
563.7 1
 
< 0.1%
563.9 5
< 0.1%
564 2
 
< 0.1%
564.1 1
 
< 0.1%
564.2 3
< 0.1%
564.3 2
 
< 0.1%
564.4 4
< 0.1%
564.5 5
< 0.1%
564.6 3
< 0.1%
ValueCountFrequency (%)
604.5 1
 
< 0.1%
604 1
 
< 0.1%
603.9 1
 
< 0.1%
603.8 1
 
< 0.1%
603.7 3
< 0.1%
603.6 1
 
< 0.1%
603.5 3
< 0.1%
603.3 1
 
< 0.1%
603.1 2
< 0.1%
603 2
< 0.1%

Grid Production VoltagePhase2 Avg. [V]
Real number (ℝ)

High correlation  Skewed 

Distinct389
Distinct (%)1.5%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean574.50856
Minimum0
Maximum601.7
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:31.336175image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile565.8
Q1570.2
median574.3
Q3578.2
95-th percentile584.5
Maximum601.7
Range601.7
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.8448334
Coefficient of variation (CV)0.011914241
Kurtosis1895.3745
Mean574.50856
Median Absolute Deviation (MAD)4
Skewness-22.234838
Sum15038911
Variance46.851744
MonotonicityNot monotonic
2025-05-05T17:42:31.415195image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
574.9 196
 
0.7%
574.6 194
 
0.7%
573.8 191
 
0.7%
572 188
 
0.7%
577.8 187
 
0.7%
573.2 185
 
0.7%
577.9 184
 
0.7%
570.6 183
 
0.7%
578 182
 
0.7%
576.3 177
 
0.7%
Other values (379) 24310
92.8%
ValueCountFrequency (%)
0 1
 
< 0.1%
560 1
 
< 0.1%
560.9 1
 
< 0.1%
561 1
 
< 0.1%
561.1 3
< 0.1%
561.2 1
 
< 0.1%
561.3 2
< 0.1%
561.4 4
< 0.1%
561.5 2
< 0.1%
561.6 2
< 0.1%
ValueCountFrequency (%)
601.7 1
< 0.1%
601.4 1
< 0.1%
601 1
< 0.1%
600.9 1
< 0.1%
600.7 1
< 0.1%
600.4 1
< 0.1%
600.3 2
< 0.1%
600.2 1
< 0.1%
600.1 2
< 0.1%
600 2
< 0.1%

Grid Production VoltagePhase3 Avg. [V]
Real number (ℝ)

High correlation 

Distinct415
Distinct (%)1.6%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean573.41165
Minimum0
Maximum602.3
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:31.493427image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile564
Q1568.9
median573.3
Q3577.4
95-th percentile583.9
Maximum602.3
Range602.3
Interquartile range (IQR)8.5

Descriptive statistics

Standard deviation7.1092303
Coefficient of variation (CV)0.012398127
Kurtosis1616.2722
Mean573.41165
Median Absolute Deviation (MAD)4.2
Skewness-19.71373
Sum15010197
Variance50.541155
MonotonicityNot monotonic
2025-05-05T17:42:31.572820image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
574 210
 
0.8%
575 203
 
0.8%
574.3 195
 
0.7%
573.9 190
 
0.7%
575.5 182
 
0.7%
571 181
 
0.7%
573.4 177
 
0.7%
574.4 177
 
0.7%
574.6 177
 
0.7%
573.2 175
 
0.7%
Other values (405) 24310
92.8%
ValueCountFrequency (%)
0 1
< 0.1%
556.7 2
< 0.1%
557.4 1
< 0.1%
557.5 1
< 0.1%
557.6 1
< 0.1%
558 2
< 0.1%
558.2 1
< 0.1%
558.5 1
< 0.1%
558.6 1
< 0.1%
558.7 2
< 0.1%
ValueCountFrequency (%)
602.3 1
< 0.1%
601.4 2
< 0.1%
601.3 1
< 0.1%
601.2 1
< 0.1%
601.1 1
< 0.1%
601 1
< 0.1%
600.9 1
< 0.1%
600.7 1
< 0.1%
600.5 2
< 0.1%
600.2 1
< 0.1%

Grid Production CurrentPhase1 Avg. [A]
Real number (ℝ)

High correlation 

Distinct9728
Distinct (%)37.2%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean420.846
Minimum0
Maximum1756.9
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:31.653353image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10.6
Q128.2
median173.9
Q3630.7
95-th percentile1654.7
Maximum1756.9
Range1756.9
Interquartile range (IQR)602.5

Descriptive statistics

Standard deviation520.86385
Coefficient of variation (CV)1.237659
Kurtosis0.40017617
Mean420.846
Median Absolute Deviation (MAD)162.3
Skewness1.3014914
Sum11016486
Variance271299.15
MonotonicityNot monotonic
2025-05-05T17:42:31.732471image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.7 704
 
2.7%
10.6 393
 
1.5%
10.8 300
 
1.1%
11.6 282
 
1.1%
11.7 231
 
0.9%
11.5 209
 
0.8%
11.8 156
 
0.6%
10.9 144
 
0.5%
2 143
 
0.5%
11 133
 
0.5%
Other values (9718) 23482
89.6%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 9
< 0.1%
1.1 16
0.1%
1.2 12
< 0.1%
1.3 7
< 0.1%
1.4 4
 
< 0.1%
1.5 17
0.1%
1.6 12
< 0.1%
1.7 11
< 0.1%
1.8 17
0.1%
ValueCountFrequency (%)
1756.9 1
< 0.1%
1756.7 1
< 0.1%
1756.4 1
< 0.1%
1756 1
< 0.1%
1753 1
< 0.1%
1752.9 1
< 0.1%
1752.7 1
< 0.1%
1751.8 1
< 0.1%
1751.5 1
< 0.1%
1751.3 1
< 0.1%

Grid Production CurrentPhase2 Avg. [A]
Real number (ℝ)

High correlation 

Distinct9900
Distinct (%)37.8%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean433.3361
Minimum0
Maximum1795.8
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:31.808336image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10.5
Q130.2
median179.8
Q3658.7
95-th percentile1684.2
Maximum1795.8
Range1795.8
Interquartile range (IQR)628.5

Descriptive statistics

Standard deviation531.71142
Coefficient of variation (CV)1.2270185
Kurtosis0.34223803
Mean433.3361
Median Absolute Deviation (MAD)168.6
Skewness1.279186
Sum11343439
Variance282717.04
MonotonicityNot monotonic
2025-05-05T17:42:31.888176image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.6 849
 
3.2%
10.7 515
 
2.0%
10.5 351
 
1.3%
10.8 190
 
0.7%
1 190
 
0.7%
11.6 188
 
0.7%
11.7 134
 
0.5%
10.9 130
 
0.5%
11.5 125
 
0.5%
11.1 113
 
0.4%
Other values (9890) 23392
89.3%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 190
0.7%
1.2 1
 
< 0.1%
1.4 1
 
< 0.1%
1.5 1
 
< 0.1%
1.6 3
 
< 0.1%
1.7 2
 
< 0.1%
1.8 1
 
< 0.1%
1.9 60
 
0.2%
2 38
 
0.1%
ValueCountFrequency (%)
1795.8 1
< 0.1%
1791.8 1
< 0.1%
1787.1 1
< 0.1%
1786.6 1
< 0.1%
1786.2 1
< 0.1%
1785.5 1
< 0.1%
1784.5 1
< 0.1%
1784.2 1
< 0.1%
1783.4 1
< 0.1%
1783.1 1
< 0.1%

Grid Production CurrentPhase3 Avg. [A]
Real number (ℝ)

High correlation 

Distinct9928
Distinct (%)37.9%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean433.76408
Minimum0
Maximum1779.2
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:32.102013image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9.6
Q134.8
median184.4
Q3655.9
95-th percentile1677.9
Maximum1779.2
Range1779.2
Interquartile range (IQR)621.1

Descriptive statistics

Standard deviation528.221
Coefficient of variation (CV)1.217761
Kurtosis0.34218163
Mean433.76408
Median Absolute Deviation (MAD)173.8
Skewness1.2770241
Sum11354642
Variance279017.42
MonotonicityNot monotonic
2025-05-05T17:42:32.180777image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.6 766
 
2.9%
9.7 608
 
2.3%
10.6 293
 
1.1%
9.8 230
 
0.9%
10.5 219
 
0.8%
10.7 174
 
0.7%
9.5 152
 
0.6%
9.9 152
 
0.6%
10 114
 
0.4%
10.2 113
 
0.4%
Other values (9918) 23356
89.1%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 15
 
0.1%
1.1 10
 
< 0.1%
1.2 10
 
< 0.1%
1.3 46
0.2%
1.4 23
0.1%
1.5 38
0.1%
1.6 9
 
< 0.1%
1.7 3
 
< 0.1%
1.8 5
 
< 0.1%
ValueCountFrequency (%)
1779.2 1
< 0.1%
1777.2 1
< 0.1%
1775.3 1
< 0.1%
1775.1 2
< 0.1%
1774.5 1
< 0.1%
1774.1 1
< 0.1%
1773.7 1
< 0.1%
1773.6 2
< 0.1%
1773.4 1
< 0.1%
1773.2 2
< 0.1%

Grid Production Power Max. [W]
Real number (ℝ)

High correlation 

Distinct12959
Distinct (%)49.5%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1003.9582
Minimum-3276.8
Maximum3186.7
Zeros1
Zeros (%)< 0.1%
Negative4533
Negative (%)17.3%
Memory size1.4 MiB
2025-05-05T17:42:32.258961image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3276.8
5-th percentile-11.5
Q1160.2
median559.3
Q31643.5
95-th percentile3151.5
Maximum3186.7
Range6463.5
Interquartile range (IQR)1483.3

Descriptive statistics

Standard deviation1067.4696
Coefficient of variation (CV)1.0632611
Kurtosis-0.52222772
Mean1003.9582
Median Absolute Deviation (MAD)560.2
Skewness0.93380103
Sum26280613
Variance1139491.4
MonotonicityNot monotonic
2025-05-05T17:42:32.334862image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-11 407
 
1.6%
-11.1 388
 
1.5%
-11.2 334
 
1.3%
-10.9 318
 
1.2%
-11.3 292
 
1.1%
-11.4 280
 
1.1%
-11.7 274
 
1.0%
-11.6 241
 
0.9%
-11.5 235
 
0.9%
-11.8 177
 
0.7%
Other values (12949) 23231
88.6%
ValueCountFrequency (%)
-3276.8 1
< 0.1%
-16.3 1
< 0.1%
-16.2 1
< 0.1%
-16.1 1
< 0.1%
-16 1
< 0.1%
-15.8 1
< 0.1%
-15.4 1
< 0.1%
-14.7 1
< 0.1%
-13.6 1
< 0.1%
-13.5 1
< 0.1%
ValueCountFrequency (%)
3186.7 1
< 0.1%
3178.3 1
< 0.1%
3174.2 1
< 0.1%
3171 1
< 0.1%
3170.7 1
< 0.1%
3170.5 1
< 0.1%
3170.2 1
< 0.1%
3168.6 1
< 0.1%
3167.9 1
< 0.1%
3167.7 1
< 0.1%

Grid Production Power Min. [W]
Real number (ℝ)

High correlation 

Distinct10664
Distinct (%)40.7%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean436.55618
Minimum-102.4
Maximum3276.7
Zeros10
Zeros (%)< 0.1%
Negative9104
Negative (%)34.7%
Memory size1.4 MiB
2025-05-05T17:42:32.412132image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-102.4
5-th percentile-52
Q1-29.2
median90.4
Q3541.3
95-th percentile2093.8
Maximum3276.7
Range3379.1
Interquartile range (IQR)570.5

Descriptive statistics

Standard deviation714.64422
Coefficient of variation (CV)1.637004
Kurtosis2.1216422
Mean436.55618
Median Absolute Deviation (MAD)122.5
Skewness1.7473444
Sum11427731
Variance510716.36
MonotonicityNot monotonic
2025-05-05T17:42:32.486990image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-29.5 271
 
1.0%
-29.4 267
 
1.0%
-29.2 250
 
1.0%
-29.6 247
 
0.9%
-29.3 222
 
0.8%
-29.9 217
 
0.8%
-29.7 210
 
0.8%
-30 203
 
0.8%
-30.1 199
 
0.8%
-29.1 195
 
0.7%
Other values (10654) 23896
91.2%
ValueCountFrequency (%)
-102.4 1
 
< 0.1%
-102.2 4
< 0.1%
-102.1 2
 
< 0.1%
-102 1
 
< 0.1%
-101.9 2
 
< 0.1%
-101.8 5
< 0.1%
-101.7 5
< 0.1%
-101.6 2
 
< 0.1%
-101.5 2
 
< 0.1%
-101.4 3
< 0.1%
ValueCountFrequency (%)
3276.7 1
 
< 0.1%
2995.2 1
 
< 0.1%
2994.8 1
 
< 0.1%
2993.9 1
 
< 0.1%
2993.6 1
 
< 0.1%
2993.5 1
 
< 0.1%
2993.4 1
 
< 0.1%
2993 2
< 0.1%
2992.9 3
< 0.1%
2992.8 2
< 0.1%

Grid Busbar Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct40
Distinct (%)0.2%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean32.647248
Minimum0
Maximum59
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:32.558821image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile23
Q127
median32
Q337
95-th percentile44
Maximum59
Range59
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.6373164
Coefficient of variation (CV)0.20330401
Kurtosis0.13188214
Mean32.647248
Median Absolute Deviation (MAD)5
Skewness0.55166215
Sum854607
Variance44.053969
MonotonicityNot monotonic
2025-05-05T17:42:32.630074image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
32 1626
 
6.2%
34 1529
 
5.8%
30 1529
 
5.8%
24 1477
 
5.6%
33 1395
 
5.3%
25 1373
 
5.2%
31 1349
 
5.1%
29 1317
 
5.0%
28 1270
 
4.8%
37 1215
 
4.6%
Other values (30) 12097
46.2%
ValueCountFrequency (%)
0 1
 
< 0.1%
21 27
 
0.1%
22 590
 
2.3%
23 985
3.8%
24 1477
5.6%
25 1373
5.2%
26 1003
3.8%
27 1140
4.3%
28 1270
4.8%
29 1317
5.0%
ValueCountFrequency (%)
59 5
 
< 0.1%
58 15
 
0.1%
57 21
 
0.1%
56 20
 
0.1%
55 32
 
0.1%
54 43
0.2%
53 42
0.2%
52 70
0.3%
51 80
0.3%
50 66
0.3%

Grid Production Power StdDev [W]
Real number (ℝ)

High correlation 

Distinct4280
Distinct (%)16.4%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean114.14341
Minimum0
Maximum1505.7
Zeros98
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:32.704766image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.5
Q121.9
median72.6
Q3172.2
95-th percentile345.42
Maximum1505.7
Range1505.7
Interquartile range (IQR)150.3

Descriptive statistics

Standard deviation129.75918
Coefficient of variation (CV)1.1368083
Kurtosis18.85994
Mean114.14341
Median Absolute Deviation (MAD)64.9
Skewness2.9550328
Sum2987932
Variance16837.445
MonotonicityNot monotonic
2025-05-05T17:42:32.783118image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.5 946
 
3.6%
3.6 898
 
3.4%
3.4 594
 
2.3%
3.7 592
 
2.3%
3.8 312
 
1.2%
3.3 239
 
0.9%
3.9 188
 
0.7%
0.1 129
 
0.5%
4 102
 
0.4%
4.1 99
 
0.4%
Other values (4270) 22078
84.2%
ValueCountFrequency (%)
0 98
0.4%
0.1 129
0.5%
0.2 14
 
0.1%
0.3 49
 
0.2%
0.4 6
 
< 0.1%
0.5 1
 
< 0.1%
0.6 3
 
< 0.1%
0.7 4
 
< 0.1%
0.8 3
 
< 0.1%
0.9 3
 
< 0.1%
ValueCountFrequency (%)
1505.7 1
< 0.1%
1502.1 1
< 0.1%
1494.5 1
< 0.1%
1483.4 1
< 0.1%
1481 1
< 0.1%
1480.1 1
< 0.1%
1477.4 1
< 0.1%
1460.6 1
< 0.1%
1456.8 1
< 0.1%
1451.2 1
< 0.1%

Grid Production ReactivePower Avg. [W]
Real number (ℝ)

High correlation  Zeros 

Distinct298
Distinct (%)1.1%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean-1.7831226
Minimum-21.8
Maximum14.6
Zeros18707
Zeros (%)71.4%
Negative4977
Negative (%)19.0%
Memory size1.4 MiB
2025-05-05T17:42:32.861968image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-21.8
5-th percentile-12.3
Q10
median0
Q30
95-th percentile1.5
Maximum14.6
Range36.4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.6028228
Coefficient of variation (CV)-2.5813272
Kurtosis1.4116723
Mean-1.7831226
Median Absolute Deviation (MAD)0
Skewness-1.5935604
Sum-46676.8
Variance21.185978
MonotonicityNot monotonic
2025-05-05T17:42:32.943887image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 18707
71.4%
1.5 254
 
1.0%
0.6 220
 
0.8%
0.7 218
 
0.8%
-11.8 200
 
0.8%
-11.5 193
 
0.7%
-11.3 190
 
0.7%
-11.6 187
 
0.7%
-11.4 185
 
0.7%
-11.2 169
 
0.6%
Other values (288) 5654
 
21.6%
ValueCountFrequency (%)
-21.8 2
< 0.1%
-21.3 2
< 0.1%
-19.7 2
< 0.1%
-19.3 1
< 0.1%
-18.9 1
< 0.1%
-18.8 1
< 0.1%
-18.5 2
< 0.1%
-18.4 1
< 0.1%
-18.3 1
< 0.1%
-17.9 1
< 0.1%
ValueCountFrequency (%)
14.6 1
< 0.1%
14.3 1
< 0.1%
13.8 1
< 0.1%
13.5 1
< 0.1%
12.3 2
< 0.1%
12.2 1
< 0.1%
11.9 1
< 0.1%
11.6 1
< 0.1%
11.3 2
< 0.1%
11 2
< 0.1%

Grid Production ReactivePower Max. [W]
Real number (ℝ)

High correlation 

Distinct294
Distinct (%)1.1%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean2.5586584
Minimum-21.5
Maximum47.5
Zeros8
Zeros (%)< 0.1%
Negative4029
Negative (%)15.4%
Memory size1.4 MiB
2025-05-05T17:42:33.023795image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-21.5
5-th percentile-11.5
Q10.2
median0.6
Q30.9
95-th percentile32.7
Maximum47.5
Range69
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation11.663856
Coefficient of variation (CV)4.5585827
Kurtosis2.4174963
Mean2.5586584
Median Absolute Deviation (MAD)0.3
Skewness1.7079395
Sum66978
Variance136.04553
MonotonicityNot monotonic
2025-05-05T17:42:33.104564image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7 3465
 
13.2%
0.6 2539
 
9.7%
0.2 1849
 
7.1%
0.8 1838
 
7.0%
0.5 1700
 
6.5%
0.4 1478
 
5.6%
0.9 1217
 
4.6%
0.1 1083
 
4.1%
0.3 1021
 
3.9%
1 781
 
3.0%
Other values (284) 9206
35.1%
ValueCountFrequency (%)
-21.5 2
< 0.1%
-20.9 1
< 0.1%
-20.7 1
< 0.1%
-19.2 1
< 0.1%
-18.4 1
< 0.1%
-17.3 1
< 0.1%
-16.6 1
< 0.1%
-15.6 1
< 0.1%
-15.3 1
< 0.1%
-15.2 2
< 0.1%
ValueCountFrequency (%)
47.5 1
< 0.1%
47 1
< 0.1%
46.7 2
< 0.1%
46.5 1
< 0.1%
46 2
< 0.1%
45.9 1
< 0.1%
45.7 2
< 0.1%
45.5 1
< 0.1%
45.4 2
< 0.1%
44.8 1
< 0.1%

Grid Production ReactivePower Min. [W]
Real number (ℝ)

High correlation 

Distinct320
Distinct (%)1.2%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean-4.8459411
Minimum-44.6
Maximum1.5
Zeros16
Zeros (%)0.1%
Negative25873
Negative (%)98.7%
Memory size1.4 MiB
2025-05-05T17:42:33.185385image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-44.6
5-th percentile-22.4
Q1-2.6
median-0.8
Q3-0.6
95-th percentile-0.3
Maximum1.5
Range46.1
Interquartile range (IQR)2

Descriptive statistics

Standard deviation7.6872031
Coefficient of variation (CV)-1.5863179
Kurtosis0.77019799
Mean-4.8459411
Median Absolute Deviation (MAD)0.3
Skewness-1.4970217
Sum-126852.2
Variance59.093091
MonotonicityNot monotonic
2025-05-05T17:42:33.282813image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.7 4164
15.9%
-0.8 3061
 
11.7%
-0.3 2434
 
9.3%
-0.6 1650
 
6.3%
-0.9 1537
 
5.9%
-0.5 1421
 
5.4%
-0.4 1183
 
4.5%
-1 1030
 
3.9%
-0.2 767
 
2.9%
-1.1 639
 
2.4%
Other values (310) 8291
31.6%
ValueCountFrequency (%)
-44.6 1
< 0.1%
-42.2 1
< 0.1%
-41.2 1
< 0.1%
-40.9 1
< 0.1%
-40.1 1
< 0.1%
-39.8 1
< 0.1%
-39.7 1
< 0.1%
-39.1 1
< 0.1%
-38.7 1
< 0.1%
-38.4 1
< 0.1%
ValueCountFrequency (%)
1.5 174
0.7%
1.4 87
0.3%
1.3 11
 
< 0.1%
1.2 1
 
< 0.1%
1 1
 
< 0.1%
0.4 2
 
< 0.1%
0.3 7
 
< 0.1%
0.2 1
 
< 0.1%
0.1 4
 
< 0.1%
0 16
 
0.1%

Grid Production ReactivePower StdDev [W]
Real number (ℝ)

High correlation  Zeros 

Distinct213
Distinct (%)0.8%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.425064
Minimum0
Maximum21.9
Zeros10260
Zeros (%)39.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:33.360282image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.1
Q30.6
95-th percentile11.6
Maximum21.9
Range21.9
Interquartile range (IQR)0.6

Descriptive statistics

Standard deviation3.6491773
Coefficient of variation (CV)2.5607112
Kurtosis8.8862102
Mean1.425064
Median Absolute Deviation (MAD)0.1
Skewness3.0967626
Sum37303.9
Variance13.316495
MonotonicityNot monotonic
2025-05-05T17:42:33.438483image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10260
39.1%
0.1 6362
24.3%
0.2 1952
 
7.4%
0.7 1111
 
4.2%
0.6 1052
 
4.0%
0.8 351
 
1.3%
0.3 349
 
1.3%
0.9 333
 
1.3%
1 265
 
1.0%
1.1 204
 
0.8%
Other values (203) 3938
 
15.0%
ValueCountFrequency (%)
0 10260
39.1%
0.1 6362
24.3%
0.2 1952
 
7.4%
0.3 349
 
1.3%
0.4 43
 
0.2%
0.5 17
 
0.1%
0.6 1052
 
4.0%
0.7 1111
 
4.2%
0.8 351
 
1.3%
0.9 333
 
1.3%
ValueCountFrequency (%)
21.9 1
 
< 0.1%
21.4 1
 
< 0.1%
21.3 2
 
< 0.1%
21.2 1
 
< 0.1%
21 1
 
< 0.1%
20.7 5
< 0.1%
20.6 1
 
< 0.1%
20.5 1
 
< 0.1%
20.4 1
 
< 0.1%
20.3 2
 
< 0.1%

Grid Production PossiblePower Avg. [W]
Real number (ℝ)

High correlation  Zeros 

Distinct2895
Distinct (%)11.1%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean771.56275
Minimum0
Maximum3001
Zeros3232
Zeros (%)12.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:33.658357image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q166
median327
Q31194
95-th percentile2953
Maximum3001
Range3001
Interquartile range (IQR)1128

Descriptive statistics

Standard deviation936.20499
Coefficient of variation (CV)1.213388
Kurtosis0.16895449
Mean771.56275
Median Absolute Deviation (MAD)317
Skewness1.2267646
Sum20197198
Variance876479.79
MonotonicityNot monotonic
2025-05-05T17:42:33.737833image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3232
 
12.3%
3000 455
 
1.7%
29 134
 
0.5%
2999 126
 
0.5%
23 123
 
0.5%
26 118
 
0.5%
2998 96
 
0.4%
73 94
 
0.4%
34 85
 
0.3%
33 82
 
0.3%
Other values (2885) 21632
82.5%
ValueCountFrequency (%)
0 3232
12.3%
1 49
 
0.2%
2 35
 
0.1%
3 31
 
0.1%
4 30
 
0.1%
5 36
 
0.1%
6 29
 
0.1%
7 44
 
0.2%
8 32
 
0.1%
9 34
 
0.1%
ValueCountFrequency (%)
3001 2
 
< 0.1%
3000 455
1.7%
2999 126
 
0.5%
2998 96
 
0.4%
2997 40
 
0.2%
2996 43
 
0.2%
2995 48
 
0.2%
2994 33
 
0.1%
2993 27
 
0.1%
2992 24
 
0.1%

Grid Production PossiblePower Max. [W]
Real number (ℝ)

High correlation  Zeros 

Distinct3026
Distinct (%)11.6%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1044.2827
Minimum0
Maximum3150
Zeros3171
Zeros (%)12.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:33.817328image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1180
median594
Q31739
95-th percentile3150
Maximum3150
Range3150
Interquartile range (IQR)1559

Descriptive statistics

Standard deviation1074.334
Coefficient of variation (CV)1.0287769
Kurtosis-0.64292407
Mean1044.2827
Median Absolute Deviation (MAD)533
Skewness0.89352373
Sum27336188
Variance1154193.4
MonotonicityNot monotonic
2025-05-05T17:42:33.893985image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3171
 
12.1%
3150 2305
 
8.8%
3000 239
 
0.9%
29 93
 
0.4%
73 70
 
0.3%
26 65
 
0.2%
23 63
 
0.2%
70 51
 
0.2%
34 44
 
0.2%
210 42
 
0.2%
Other values (3016) 20034
76.4%
ValueCountFrequency (%)
0 3171
12.1%
16 1
 
< 0.1%
22 1
 
< 0.1%
23 63
 
0.2%
24 28
 
0.1%
25 28
 
0.1%
26 65
 
0.2%
27 22
 
0.1%
28 11
 
< 0.1%
29 93
 
0.4%
ValueCountFrequency (%)
3150 2305
8.8%
3149 5
 
< 0.1%
3147 3
 
< 0.1%
3146 2
 
< 0.1%
3145 11
 
< 0.1%
3144 2
 
< 0.1%
3143 2
 
< 0.1%
3142 5
 
< 0.1%
3141 2
 
< 0.1%
3140 7
 
< 0.1%

Grid Production PossiblePower Min. [W]
Real number (ℝ)

High correlation  Zeros 

Distinct2810
Distinct (%)10.7%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean469.75284
Minimum-100
Maximum3000
Zeros3844
Zeros (%)14.7%
Negative4085
Negative (%)15.6%
Memory size1.4 MiB
2025-05-05T17:42:33.969706image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-100
5-th percentile-54
Q10
median106
Q3597
95-th percentile2184.2
Maximum3000
Range3100
Interquartile range (IQR)597

Descriptive statistics

Standard deviation740.37584
Coefficient of variation (CV)1.5760966
Kurtosis2.082877
Mean469.75284
Median Absolute Deviation (MAD)124
Skewness1.7364753
Sum12296720
Variance548156.38
MonotonicityNot monotonic
2025-05-05T17:42:34.048004image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3844
 
14.7%
-100 760
 
2.9%
3000 241
 
0.9%
29 139
 
0.5%
23 128
 
0.5%
26 98
 
0.4%
34 95
 
0.4%
73 95
 
0.4%
32 92
 
0.4%
-12 80
 
0.3%
Other values (2800) 20605
78.6%
ValueCountFrequency (%)
-100 760
2.9%
-99 14
 
0.1%
-98 8
 
< 0.1%
-97 5
 
< 0.1%
-96 13
 
< 0.1%
-95 6
 
< 0.1%
-94 4
 
< 0.1%
-93 5
 
< 0.1%
-92 10
 
< 0.1%
-91 5
 
< 0.1%
ValueCountFrequency (%)
3000 241
0.9%
2999 3
 
< 0.1%
2998 1
 
< 0.1%
2997 1
 
< 0.1%
2996 1
 
< 0.1%
2995 2
 
< 0.1%
2991 1
 
< 0.1%
2990 2
 
< 0.1%
2989 2
 
< 0.1%
2988 2
 
< 0.1%

Grid Production PossiblePower StdDev [W]
Real number (ℝ)

High correlation  Zeros 

Distinct634
Distinct (%)2.4%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean111.58979
Minimum0
Maximum1004
Zeros3951
Zeros (%)15.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:34.126112image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q124
median73
Q3171
95-th percentile341.2
Maximum1004
Range1004
Interquartile range (IQR)147

Descriptive statistics

Standard deviation115.94469
Coefficient of variation (CV)1.039026
Kurtosis2.9736636
Mean111.58979
Median Absolute Deviation (MAD)62
Skewness1.5197497
Sum2921086
Variance13443.172
MonotonicityNot monotonic
2025-05-05T17:42:34.205892image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3951
 
15.1%
27 178
 
0.7%
29 177
 
0.7%
30 172
 
0.7%
36 171
 
0.7%
31 169
 
0.6%
24 167
 
0.6%
28 165
 
0.6%
45 164
 
0.6%
32 162
 
0.6%
Other values (624) 20701
79.0%
ValueCountFrequency (%)
0 3951
15.1%
1 58
 
0.2%
2 30
 
0.1%
3 44
 
0.2%
4 44
 
0.2%
5 51
 
0.2%
6 69
 
0.3%
7 76
 
0.3%
8 83
 
0.3%
9 111
 
0.4%
ValueCountFrequency (%)
1004 1
< 0.1%
1002 1
< 0.1%
999 1
< 0.1%
914 1
< 0.1%
897 1
< 0.1%
867 1
< 0.1%
852 1
< 0.1%
829 1
< 0.1%
809 1
< 0.1%
799 2
< 0.1%
Distinct1
Distinct (%)< 0.1%
Missing31
Missing (%)0.1%
Memory size2.5 MiB
0.0
26177 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78531
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26177
99.9%
(Missing) 31
 
0.1%

Length

2025-05-05T17:42:34.272803image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:42:34.307544image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26177
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52354
66.7%
. 26177
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78531
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52354
66.7%
. 26177
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78531
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52354
66.7%
. 26177
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78531
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52354
66.7%
. 26177
33.3%
Distinct1
Distinct (%)< 0.1%
Missing31
Missing (%)0.1%
Memory size2.5 MiB
0.0
26177 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78531
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26177
99.9%
(Missing) 31
 
0.1%

Length

2025-05-05T17:42:34.347094image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:42:34.380133image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26177
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52354
66.7%
. 26177
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78531
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52354
66.7%
. 26177
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78531
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52354
66.7%
. 26177
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78531
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52354
66.7%
. 26177
33.3%
Distinct1
Distinct (%)< 0.1%
Missing31
Missing (%)0.1%
Memory size2.5 MiB
0.0
26177 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78531
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26177
99.9%
(Missing) 31
 
0.1%

Length

2025-05-05T17:42:34.420431image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:42:34.453319image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26177
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52354
66.7%
. 26177
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78531
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52354
66.7%
. 26177
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78531
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52354
66.7%
. 26177
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78531
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52354
66.7%
. 26177
33.3%
Distinct1
Distinct (%)< 0.1%
Missing31
Missing (%)0.1%
Memory size2.5 MiB
0.0
26177 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78531
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26177
99.9%
(Missing) 31
 
0.1%

Length

2025-05-05T17:42:34.491975image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:42:34.526379image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26177
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52354
66.7%
. 26177
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78531
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52354
66.7%
. 26177
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78531
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52354
66.7%
. 26177
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78531
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52354
66.7%
. 26177
33.3%
Distinct1
Distinct (%)< 0.1%
Missing31
Missing (%)0.1%
Memory size2.5 MiB
0.0
26177 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78531
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26177
99.9%
(Missing) 31
 
0.1%

Length

2025-05-05T17:42:34.565296image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:42:34.598152image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26177
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52354
66.7%
. 26177
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78531
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52354
66.7%
. 26177
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78531
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52354
66.7%
. 26177
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78531
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52354
66.7%
. 26177
33.3%
Distinct1
Distinct (%)< 0.1%
Missing31
Missing (%)0.1%
Memory size2.5 MiB
0.0
26177 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78531
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26177
99.9%
(Missing) 31
 
0.1%

Length

2025-05-05T17:42:34.638502image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:42:34.671618image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26177
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52354
66.7%
. 26177
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78531
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52354
66.7%
. 26177
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78531
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52354
66.7%
. 26177
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78531
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52354
66.7%
. 26177
33.3%
Distinct1
Distinct (%)< 0.1%
Missing31
Missing (%)0.1%
Memory size2.5 MiB
0.0
26177 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78531
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26177
99.9%
(Missing) 31
 
0.1%

Length

2025-05-05T17:42:34.711054image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:42:34.746259image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26177
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52354
66.7%
. 26177
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78531
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52354
66.7%
. 26177
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78531
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52354
66.7%
. 26177
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78531
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52354
66.7%
. 26177
33.3%
Distinct1
Distinct (%)< 0.1%
Missing31
Missing (%)0.1%
Memory size2.5 MiB
0.0
26177 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78531
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26177
99.9%
(Missing) 31
 
0.1%

Length

2025-05-05T17:42:34.785958image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:42:34.819742image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26177
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52354
66.7%
. 26177
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78531
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52354
66.7%
. 26177
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78531
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52354
66.7%
. 26177
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78531
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52354
66.7%
. 26177
33.3%

Active power limit [W]
Real number (ℝ)

High correlation  Skewed 

Distinct16
Distinct (%)0.1%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean2995.119
Minimum0
Maximum3000
Zeros35
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:34.854647image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3000
Q13000
median3000
Q33000
95-th percentile3000
Maximum3000
Range3000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation111.42334
Coefficient of variation (CV)0.037201641
Kurtosis696.52714
Mean2995.119
Median Absolute Deviation (MAD)0
Skewness-26.146827
Sum78403230
Variance12415.161
MonotonicityNot monotonic
2025-05-05T17:42:34.907791image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3000 26066
99.5%
0 35
 
0.1%
2955 18
 
0.1%
2505 10
 
< 0.1%
2595 7
 
< 0.1%
2910 6
 
< 0.1%
2640 5
 
< 0.1%
2550 5
 
< 0.1%
2460 5
 
< 0.1%
2685 4
 
< 0.1%
Other values (6) 16
 
0.1%
(Missing) 31
 
0.1%
ValueCountFrequency (%)
0 35
0.1%
1650 1
 
< 0.1%
2415 3
 
< 0.1%
2460 5
 
< 0.1%
2505 10
 
< 0.1%
2550 5
 
< 0.1%
2595 7
 
< 0.1%
2640 5
 
< 0.1%
2685 4
 
< 0.1%
2730 3
 
< 0.1%
ValueCountFrequency (%)
3000 26066
99.5%
2955 18
 
0.1%
2910 6
 
< 0.1%
2865 2
 
< 0.1%
2820 3
 
< 0.1%
2775 4
 
< 0.1%
2730 3
 
< 0.1%
2685 4
 
< 0.1%
2640 5
 
< 0.1%
2595 7
 
< 0.1%

Active power limit source
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing31
Missing (%)0.1%
Memory size2.5 MiB
11.0
26169 
0.0
 
8

Length

Max length4
Median length4
Mean length3.9996944
Min length3

Characters and Unicode

Total characters104700
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11.0
2nd row11.0
3rd row11.0
4th row11.0
5th row11.0

Common Values

ValueCountFrequency (%)
11.0 26169
99.9%
0.0 8
 
< 0.1%
(Missing) 31
 
0.1%

Length

2025-05-05T17:42:34.970060image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:42:35.007366image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
11.0 26169
> 99.9%
0.0 8
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
1 52338
50.0%
0 26185
25.0%
. 26177
25.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 104700
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 52338
50.0%
0 26185
25.0%
. 26177
25.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 104700
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 52338
50.0%
0 26185
25.0%
. 26177
25.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 104700
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 52338
50.0%
0 26185
25.0%
. 26177
25.0%

Reactive power set point [var]
Categorical

Constant 

Distinct1
Distinct (%)< 0.1%
Missing31
Missing (%)0.1%
Memory size2.5 MiB
0.0
26177 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78531
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26177
99.9%
(Missing) 31
 
0.1%

Length

2025-05-05T17:42:35.049448image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:42:35.084808image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26177
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52354
66.7%
. 26177
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78531
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52354
66.7%
. 26177
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78531
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52354
66.7%
. 26177
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78531
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52354
66.7%
. 26177
33.3%

Power factor set point
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing31
Missing (%)0.1%
Memory size2.5 MiB
1.0
26169 
0.0
 
8

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78531
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 26169
99.9%
0.0 8
 
< 0.1%
(Missing) 31
 
0.1%

Length

2025-05-05T17:42:35.124086image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:42:35.159409image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 26169
> 99.9%
0.0 8
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 26185
33.3%
. 26177
33.3%
1 26169
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78531
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 26185
33.3%
. 26177
33.3%
1 26169
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78531
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 26185
33.3%
. 26177
33.3%
1 26169
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78531
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 26185
33.3%
. 26177
33.3%
1 26169
33.3%

Power factor set point source
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing31
Missing (%)0.1%
Memory size2.5 MiB
11.0
26169 
0.0
 
8

Length

Max length4
Median length4
Mean length3.9996944
Min length3

Characters and Unicode

Total characters104700
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11.0
2nd row11.0
3rd row11.0
4th row11.0
5th row11.0

Common Values

ValueCountFrequency (%)
11.0 26169
99.9%
0.0 8
 
< 0.1%
(Missing) 31
 
0.1%

Length

2025-05-05T17:42:35.204853image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:42:35.241993image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
11.0 26169
> 99.9%
0.0 8
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
1 52338
50.0%
0 26185
25.0%
. 26177
25.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 104700
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 52338
50.0%
0 26185
25.0%
. 26177
25.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 104700
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 52338
50.0%
0 26185
25.0%
. 26177
25.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 104700
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 52338
50.0%
0 26185
25.0%
. 26177
25.0%

Controller Ground Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct32
Distinct (%)0.1%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean21.49639
Minimum0
Maximum40
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:35.286273image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14
Q117
median21
Q325
95-th percentile30
Maximum40
Range40
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.3078585
Coefficient of variation (CV)0.2469186
Kurtosis-0.022324261
Mean21.49639
Median Absolute Deviation (MAD)4
Skewness0.49207408
Sum562711
Variance28.173361
MonotonicityNot monotonic
2025-05-05T17:42:35.357590image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
18 2520
 
9.6%
19 2125
 
8.1%
17 2050
 
7.8%
25 1774
 
6.8%
26 1707
 
6.5%
16 1664
 
6.3%
20 1591
 
6.1%
21 1504
 
5.7%
27 1424
 
5.4%
23 1259
 
4.8%
Other values (22) 8559
32.7%
ValueCountFrequency (%)
0 1
 
< 0.1%
10 98
 
0.4%
11 169
 
0.6%
12 271
 
1.0%
13 438
 
1.7%
14 699
 
2.7%
15 1177
4.5%
16 1664
6.3%
17 2050
7.8%
18 2520
9.6%
ValueCountFrequency (%)
40 49
 
0.2%
39 28
 
0.1%
38 88
 
0.3%
37 44
 
0.2%
36 81
 
0.3%
35 106
0.4%
34 209
0.8%
33 229
0.9%
32 203
0.8%
31 211
0.8%

Controller Top Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct28
Distinct (%)0.1%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean31.825916
Minimum0
Maximum47
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:35.425357image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile26
Q129
median33
Q334
95-th percentile36
Maximum47
Range47
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.8281471
Coefficient of variation (CV)0.12028396
Kurtosis0.20865202
Mean31.825916
Median Absolute Deviation (MAD)2
Skewness-0.080930475
Sum833107
Variance14.65471
MonotonicityNot monotonic
2025-05-05T17:42:35.483810image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
34 4132
15.8%
35 3591
13.7%
33 2781
10.6%
32 1988
7.6%
30 1977
7.5%
26 1865
7.1%
28 1664
6.3%
36 1645
 
6.3%
29 1471
 
5.6%
31 1380
 
5.3%
Other values (18) 3683
14.1%
ValueCountFrequency (%)
0 1
 
< 0.1%
21 26
 
0.1%
22 141
 
0.5%
23 143
 
0.5%
24 165
 
0.6%
25 631
 
2.4%
26 1865
7.1%
27 1320
5.0%
28 1664
6.3%
29 1471
5.6%
ValueCountFrequency (%)
47 1
 
< 0.1%
46 4
 
< 0.1%
45 7
 
< 0.1%
44 68
 
0.3%
43 91
0.3%
42 225
0.9%
41 126
0.5%
40 154
0.6%
39 161
0.6%
38 173
0.7%

Controller Hub Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct32
Distinct (%)0.1%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean21.833747
Minimum0
Maximum42
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:35.683047image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15
Q117
median21
Q325
95-th percentile33
Maximum42
Range42
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.7041747
Coefficient of variation (CV)0.26125496
Kurtosis0.12449533
Mean21.833747
Median Absolute Deviation (MAD)4
Skewness0.79297457
Sum571542
Variance32.53761
MonotonicityNot monotonic
2025-05-05T17:42:35.744814image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
18 2585
 
9.9%
17 2336
 
8.9%
19 2044
 
7.8%
16 1982
 
7.6%
20 1532
 
5.8%
21 1521
 
5.8%
25 1396
 
5.3%
23 1369
 
5.2%
15 1326
 
5.1%
22 1311
 
5.0%
Other values (22) 8775
33.5%
ValueCountFrequency (%)
0 1
 
< 0.1%
12 52
 
0.2%
13 366
 
1.4%
14 727
 
2.8%
15 1326
5.1%
16 1982
7.6%
17 2336
8.9%
18 2585
9.9%
19 2044
7.8%
20 1532
5.8%
ValueCountFrequency (%)
42 25
 
0.1%
41 50
 
0.2%
40 57
 
0.2%
39 49
 
0.2%
38 102
 
0.4%
37 62
 
0.2%
36 194
0.7%
35 234
0.9%
34 358
1.4%
33 344
1.3%

Controller VCP Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct38
Distinct (%)0.1%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean39.847041
Minimum0
Maximum63
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:35.809596image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile33
Q137
median40
Q343
95-th percentile46
Maximum63
Range63
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.2989573
Coefficient of variation (CV)0.10788649
Kurtosis0.52051308
Mean39.847041
Median Absolute Deviation (MAD)3
Skewness0.049976072
Sum1043076
Variance18.481034
MonotonicityNot monotonic
2025-05-05T17:42:35.880481image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
42 3104
11.8%
43 3003
11.5%
41 2368
 
9.0%
37 2151
 
8.2%
40 1887
 
7.2%
36 1881
 
7.2%
39 1579
 
6.0%
38 1523
 
5.8%
45 1399
 
5.3%
35 1347
 
5.1%
Other values (28) 5935
22.6%
ValueCountFrequency (%)
0 1
 
< 0.1%
25 6
 
< 0.1%
26 12
 
< 0.1%
27 18
 
0.1%
28 10
 
< 0.1%
29 32
 
0.1%
30 168
 
0.6%
31 370
1.4%
32 465
1.8%
33 833
3.2%
ValueCountFrequency (%)
63 1
 
< 0.1%
61 1
 
< 0.1%
59 2
 
< 0.1%
58 9
 
< 0.1%
57 4
 
< 0.1%
56 8
 
< 0.1%
55 15
 
0.1%
54 19
 
0.1%
53 75
0.3%
52 87
0.3%

Controller VCP ChokecoilTemp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct106
Distinct (%)0.4%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean84.519043
Minimum0
Maximum126
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:35.956862image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile36
Q180
median90
Q396
95-th percentile113
Maximum126
Range126
Interquartile range (IQR)16

Descriptive statistics

Standard deviation21.18774
Coefficient of variation (CV)0.25068599
Kurtosis0.56674423
Mean84.519043
Median Absolute Deviation (MAD)7
Skewness-1.0829544
Sum2212455
Variance448.92034
MonotonicityNot monotonic
2025-05-05T17:42:36.038354image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
94 1356
 
5.2%
95 1292
 
4.9%
93 1199
 
4.6%
92 1063
 
4.1%
90 1040
 
4.0%
89 977
 
3.7%
88 948
 
3.6%
91 944
 
3.6%
96 871
 
3.3%
87 829
 
3.2%
Other values (96) 15658
59.7%
ValueCountFrequency (%)
0 1
 
< 0.1%
22 3
 
< 0.1%
23 6
 
< 0.1%
24 5
 
< 0.1%
25 8
 
< 0.1%
26 7
 
< 0.1%
27 5
 
< 0.1%
28 17
 
0.1%
29 102
0.4%
30 181
0.7%
ValueCountFrequency (%)
126 6
 
< 0.1%
125 9
 
< 0.1%
124 16
 
0.1%
123 16
 
0.1%
122 9
 
< 0.1%
121 42
 
0.2%
120 40
 
0.2%
119 96
0.4%
118 185
0.7%
117 215
0.8%

Controller VCP WaterTemp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct42
Distinct (%)0.2%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean34.99851
Minimum0
Maximum58
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:36.113638image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30
Q131
median33
Q338
95-th percentile44
Maximum58
Range58
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.6196524
Coefficient of variation (CV)0.13199569
Kurtosis0.62288145
Mean34.99851
Median Absolute Deviation (MAD)3
Skewness0.78739907
Sum916156
Variance21.341188
MonotonicityNot monotonic
2025-05-05T17:42:36.184506image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
31 5180
19.8%
32 4059
15.5%
39 2481
9.5%
38 2322
8.9%
30 2157
8.2%
37 1681
 
6.4%
33 1225
 
4.7%
34 1031
 
3.9%
35 926
 
3.5%
36 918
 
3.5%
Other values (32) 4197
16.0%
ValueCountFrequency (%)
0 1
 
< 0.1%
17 5
< 0.1%
18 8
< 0.1%
19 9
< 0.1%
20 12
< 0.1%
21 8
< 0.1%
22 5
< 0.1%
23 6
< 0.1%
24 10
< 0.1%
25 8
< 0.1%
ValueCountFrequency (%)
58 1
 
< 0.1%
57 1
 
< 0.1%
56 1
 
< 0.1%
54 1
 
< 0.1%
53 38
0.1%
52 34
0.1%
51 43
0.2%
50 37
0.1%
49 40
0.2%
48 49
0.2%

Spinner Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct33
Distinct (%)0.1%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean16.946365
Minimum0
Maximum37
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:36.252299image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q112
median16
Q321
95-th percentile29
Maximum37
Range37
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.0165658
Coefficient of variation (CV)0.35503577
Kurtosis-0.037987443
Mean16.946365
Median Absolute Deviation (MAD)4
Skewness0.71613665
Sum443605
Variance36.199064
MonotonicityNot monotonic
2025-05-05T17:42:36.319200image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
12 2333
 
8.9%
13 2001
 
7.6%
14 1978
 
7.5%
11 1772
 
6.8%
16 1648
 
6.3%
10 1565
 
6.0%
15 1451
 
5.5%
18 1280
 
4.9%
21 1250
 
4.8%
20 1190
 
4.5%
Other values (23) 9709
37.0%
ValueCountFrequency (%)
0 1
 
< 0.1%
6 29
 
0.1%
7 300
 
1.1%
8 357
 
1.4%
9 901
 
3.4%
10 1565
6.0%
11 1772
6.8%
12 2333
8.9%
13 2001
7.6%
14 1978
7.5%
ValueCountFrequency (%)
37 43
 
0.2%
36 87
 
0.3%
35 48
 
0.2%
34 78
 
0.3%
33 64
 
0.2%
32 78
 
0.3%
31 211
0.8%
30 339
1.3%
29 363
1.4%
28 373
1.4%

Spinner Temp. SlipRing Avg. [°C]
Categorical

Constant 

Distinct1
Distinct (%)< 0.1%
Missing31
Missing (%)0.1%
Memory size2.6 MiB
999.0
26177 

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters130885
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row999.0
2nd row999.0
3rd row999.0
4th row999.0
5th row999.0

Common Values

ValueCountFrequency (%)
999.0 26177
99.9%
(Missing) 31
 
0.1%

Length

2025-05-05T17:42:36.383397image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:42:36.416456image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
999.0 26177
100.0%

Most occurring characters

ValueCountFrequency (%)
9 78531
60.0%
. 26177
 
20.0%
0 26177
 
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 130885
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
9 78531
60.0%
. 26177
 
20.0%
0 26177
 
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 130885
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
9 78531
60.0%
. 26177
 
20.0%
0 26177
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 130885
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
9 78531
60.0%
. 26177
 
20.0%
0 26177
 
20.0%

Blades PitchAngle Min. [°]
Real number (ℝ)

High correlation  Skewed  Zeros 

Distinct398
Distinct (%)1.5%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean8.5629637
Minimum-3276.8
Maximum89.1
Zeros273
Zeros (%)1.0%
Negative9795
Negative (%)37.4%
Memory size1.4 MiB
2025-05-05T17:42:36.466098image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3276.8
5-th percentile-2
Q1-0.9
median0.9
Q316
95-th percentile42.8
Maximum89.1
Range3365.9
Interquartile range (IQR)16.9

Descriptive statistics

Standard deviation26.437044
Coefficient of variation (CV)3.0873708
Kurtosis9112.5203
Mean8.5629637
Median Absolute Deviation (MAD)2.6
Skewness-72.548953
Sum224152.7
Variance698.91731
MonotonicityNot monotonic
2025-05-05T17:42:36.544103image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 4151
 
15.8%
0.9 1316
 
5.0%
0.8 789
 
3.0%
-1.3 578
 
2.2%
0.7 570
 
2.2%
-1.2 544
 
2.1%
-1.4 533
 
2.0%
-1 498
 
1.9%
-1.1 496
 
1.9%
-0.9 490
 
1.9%
Other values (388) 16212
61.9%
ValueCountFrequency (%)
-3276.8 1
 
< 0.1%
-2.7 1
 
< 0.1%
-2.6 12
 
< 0.1%
-2.5 45
 
0.2%
-2.4 92
 
0.4%
-2.3 251
1.0%
-2.2 340
1.3%
-2.1 433
1.7%
-2 426
1.6%
-1.9 407
1.6%
ValueCountFrequency (%)
89.1 1
 
< 0.1%
89 399
1.5%
88.9 13
 
< 0.1%
88.6 1
 
< 0.1%
87.7 1
 
< 0.1%
78.1 43
 
0.2%
78 343
1.3%
73.7 1
 
< 0.1%
71 1
 
< 0.1%
68.5 1
 
< 0.1%

Blades PitchAngle Max. [°]
Real number (ℝ)

High correlation  Skewed 

Distinct220
Distinct (%)0.8%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean3.2848187
Minimum-2.9
Maximum3276.7
Zeros174
Zeros (%)0.7%
Negative20546
Negative (%)78.4%
Memory size1.4 MiB
2025-05-05T17:42:36.620899image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-2.9
5-th percentile-2.8
Q1-2.8
median-2.8
Q3-0.8
95-th percentile20
Maximum3276.7
Range3279.6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation25.194806
Coefficient of variation (CV)7.6700749
Kurtosis10887.824
Mean3.2848187
Median Absolute Deviation (MAD)0
Skewness84.625045
Sum85986.7
Variance634.77824
MonotonicityNot monotonic
2025-05-05T17:42:36.698389image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-2.8 13476
51.4%
20 3691
 
14.1%
-2.7 1186
 
4.5%
-2.6 729
 
2.8%
-2.5 412
 
1.6%
-2.4 333
 
1.3%
-1.3 326
 
1.2%
-1.2 326
 
1.2%
89 300
 
1.1%
78 291
 
1.1%
Other values (210) 5107
 
19.5%
ValueCountFrequency (%)
-2.9 1
 
< 0.1%
-2.8 13476
51.4%
-2.7 1186
 
4.5%
-2.6 729
 
2.8%
-2.5 412
 
1.6%
-2.4 333
 
1.3%
-2.3 269
 
1.0%
-2.2 243
 
0.9%
-2.1 191
 
0.7%
-2 195
 
0.7%
ValueCountFrequency (%)
3276.7 1
 
< 0.1%
89 300
1.1%
88.9 17
 
0.1%
78.4 6
 
< 0.1%
78.3 7
 
< 0.1%
78 291
1.1%
76.8 1
 
< 0.1%
76.7 3
 
< 0.1%
76.6 7
 
< 0.1%
76.5 6
 
< 0.1%

Blades PitchAngle Avg. [°]
Real number (ℝ)

High correlation  Zeros 

Distinct394
Distinct (%)1.5%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean5.0599114
Minimum-2.7
Maximum89
Zeros365
Zeros (%)1.4%
Negative16630
Negative (%)63.5%
Memory size1.4 MiB
2025-05-05T17:42:36.777366image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-2.7
5-th percentile-2.5
Q1-2.3
median-1.1
Q35.4
95-th percentile20
Maximum89
Range91.7
Interquartile range (IQR)7.7

Descriptive statistics

Standard deviation15.273664
Coefficient of variation (CV)3.0185635
Kurtosis15.932788
Mean5.0599114
Median Absolute Deviation (MAD)1.4
Skewness3.7074274
Sum132453.3
Variance233.28481
MonotonicityNot monotonic
2025-05-05T17:42:36.856318image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 3672
 
14.0%
-2.5 3416
 
13.0%
-2.4 1701
 
6.5%
-2.3 1038
 
4.0%
-2.6 932
 
3.6%
-2.2 763
 
2.9%
-2.1 631
 
2.4%
-1.8 607
 
2.3%
-1.9 605
 
2.3%
-2 599
 
2.3%
Other values (384) 12213
46.6%
ValueCountFrequency (%)
-2.7 154
 
0.6%
-2.6 932
 
3.6%
-2.5 3416
13.0%
-2.4 1701
6.5%
-2.3 1038
 
4.0%
-2.2 763
 
2.9%
-2.1 631
 
2.4%
-2 599
 
2.3%
-1.9 605
 
2.3%
-1.8 607
 
2.3%
ValueCountFrequency (%)
89 300
1.1%
88.9 29
 
0.1%
88.8 2
 
< 0.1%
88.6 1
 
< 0.1%
88.5 2
 
< 0.1%
88.2 1
 
< 0.1%
87.5 2
 
< 0.1%
87.1 2
 
< 0.1%
86.9 2
 
< 0.1%
86.6 1
 
< 0.1%

Blades PitchAngle StdDev [°]
Real number (ℝ)

High correlation  Zeros 

Distinct236
Distinct (%)0.9%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.2167131
Minimum0
Maximum45.2
Zeros4677
Zeros (%)17.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:36.933984image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.1
median0.4
Q31.1
95-th percentile5.9
Maximum45.2
Range45.2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.8992365
Coefficient of variation (CV)2.3828431
Kurtosis70.10434
Mean1.2167131
Median Absolute Deviation (MAD)0.4
Skewness6.9660742
Sum31849.9
Variance8.4055722
MonotonicityNot monotonic
2025-05-05T17:42:37.009502image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4677
17.8%
0.1 3035
11.6%
0.2 2464
 
9.4%
0.3 2063
 
7.9%
0.4 1774
 
6.8%
0.5 1444
 
5.5%
0.6 1221
 
4.7%
0.7 1004
 
3.8%
0.8 791
 
3.0%
0.9 679
 
2.6%
Other values (226) 7025
26.8%
ValueCountFrequency (%)
0 4677
17.8%
0.1 3035
11.6%
0.2 2464
9.4%
0.3 2063
7.9%
0.4 1774
 
6.8%
0.5 1444
 
5.5%
0.6 1221
 
4.7%
0.7 1004
 
3.8%
0.8 791
 
3.0%
0.9 679
 
2.6%
ValueCountFrequency (%)
45.2 1
 
< 0.1%
44.8 1
 
< 0.1%
44.2 2
< 0.1%
43.7 1
 
< 0.1%
43.6 1
 
< 0.1%
43.1 1
 
< 0.1%
42.9 1
 
< 0.1%
42.7 1
 
< 0.1%
42.6 1
 
< 0.1%
42.3 3
< 0.1%

HVTrafo Phase1 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct74
Distinct (%)0.3%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean49.05161
Minimum0
Maximum95
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:37.226133image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile34
Q140
median44
Q354
95-th percentile79
Maximum95
Range95
Interquartile range (IQR)14

Descriptive statistics

Standard deviation13.548249
Coefficient of variation (CV)0.27620397
Kurtosis0.4744345
Mean49.05161
Median Absolute Deviation (MAD)6
Skewness1.1604367
Sum1284024
Variance183.55506
MonotonicityNot monotonic
2025-05-05T17:42:37.300650image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
44 2266
 
8.6%
45 1580
 
6.0%
42 1513
 
5.8%
43 1314
 
5.0%
40 1247
 
4.8%
46 1180
 
4.5%
34 1065
 
4.1%
41 1006
 
3.8%
39 966
 
3.7%
36 866
 
3.3%
Other values (64) 13174
50.3%
ValueCountFrequency (%)
0 1
 
< 0.1%
23 5
 
< 0.1%
24 18
0.1%
25 13
 
< 0.1%
26 9
 
< 0.1%
27 6
 
< 0.1%
28 4
 
< 0.1%
29 5
 
< 0.1%
30 6
 
< 0.1%
31 37
0.1%
ValueCountFrequency (%)
95 2
 
< 0.1%
94 5
 
< 0.1%
93 8
 
< 0.1%
92 4
 
< 0.1%
91 4
 
< 0.1%
90 9
 
< 0.1%
89 49
0.2%
88 64
0.2%
87 63
0.2%
86 106
0.4%

HVTrafo Phase2 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct70
Distinct (%)0.3%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean52.898384
Minimum0
Maximum95
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:37.376416image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile36
Q144
median49
Q360
95-th percentile81
Maximum95
Range95
Interquartile range (IQR)16

Descriptive statistics

Standard deviation13.550802
Coefficient of variation (CV)0.25616665
Kurtosis0.034946449
Mean52.898384
Median Absolute Deviation (MAD)7
Skewness0.92627111
Sum1384721
Variance183.62422
MonotonicityNot monotonic
2025-05-05T17:42:37.454190image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
49 1657
 
6.3%
48 1635
 
6.2%
50 1331
 
5.1%
47 1295
 
4.9%
46 1180
 
4.5%
44 1138
 
4.3%
36 923
 
3.5%
45 921
 
3.5%
51 873
 
3.3%
38 812
 
3.1%
Other values (60) 14412
55.0%
ValueCountFrequency (%)
0 1
 
< 0.1%
27 4
 
< 0.1%
28 18
 
0.1%
29 11
 
< 0.1%
30 8
 
< 0.1%
31 5
 
< 0.1%
32 6
 
< 0.1%
33 26
 
0.1%
34 114
 
0.4%
35 578
2.2%
ValueCountFrequency (%)
95 2
 
< 0.1%
94 7
 
< 0.1%
93 21
 
0.1%
92 54
0.2%
91 39
 
0.1%
90 30
 
0.1%
89 30
 
0.1%
88 71
0.3%
87 74
0.3%
86 109
0.4%

HVTrafo Phase3 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct66
Distinct (%)0.3%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean48.090308
Minimum0
Maximum87
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:37.530419image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile33
Q140
median45
Q354
95-th percentile74
Maximum87
Range87
Interquartile range (IQR)14

Descriptive statistics

Standard deviation12.359978
Coefficient of variation (CV)0.25701598
Kurtosis0.061651806
Mean48.090308
Median Absolute Deviation (MAD)6
Skewness0.94902802
Sum1258860
Variance152.76904
MonotonicityNot monotonic
2025-05-05T17:42:37.609304image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
44 2042
 
7.8%
45 1566
 
6.0%
42 1408
 
5.4%
46 1372
 
5.2%
43 1297
 
4.9%
40 1163
 
4.4%
33 995
 
3.8%
41 904
 
3.4%
39 847
 
3.2%
35 776
 
3.0%
Other values (56) 13807
52.7%
ValueCountFrequency (%)
0 1
 
< 0.1%
23 3
 
< 0.1%
24 18
 
0.1%
25 13
 
< 0.1%
26 8
 
< 0.1%
27 6
 
< 0.1%
28 5
 
< 0.1%
29 5
 
< 0.1%
30 29
 
0.1%
31 85
0.3%
ValueCountFrequency (%)
87 1
 
< 0.1%
86 9
 
< 0.1%
85 7
 
< 0.1%
84 15
 
0.1%
83 32
 
0.1%
82 46
 
0.2%
81 70
0.3%
80 115
0.4%
79 90
0.3%
78 125
0.5%

HVTrafo AirOutlet Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct56
Distinct (%)0.2%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean52.948122
Minimum0
Maximum76
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:37.687479image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile39
Q148
median55
Q359
95-th percentile63
Maximum76
Range76
Interquartile range (IQR)11

Descriptive statistics

Standard deviation7.5324267
Coefficient of variation (CV)0.14226051
Kurtosis-0.21843887
Mean52.948122
Median Absolute Deviation (MAD)4
Skewness-0.65714717
Sum1386023
Variance56.737452
MonotonicityNot monotonic
2025-05-05T17:42:37.765748image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
59 2135
 
8.1%
58 2113
 
8.1%
57 1661
 
6.3%
56 1625
 
6.2%
54 1592
 
6.1%
55 1446
 
5.5%
53 1404
 
5.4%
60 1344
 
5.1%
52 1080
 
4.1%
61 1057
 
4.0%
Other values (46) 10720
40.9%
ValueCountFrequency (%)
0 1
 
< 0.1%
19 1
 
< 0.1%
20 4
 
< 0.1%
21 6
< 0.1%
22 4
 
< 0.1%
23 9
< 0.1%
24 5
< 0.1%
25 9
< 0.1%
26 11
< 0.1%
27 7
< 0.1%
ValueCountFrequency (%)
76 2
 
< 0.1%
75 1
 
< 0.1%
71 1
 
< 0.1%
70 4
 
< 0.1%
69 7
 
< 0.1%
68 26
 
0.1%
67 140
0.5%
66 131
 
0.5%
65 340
1.3%
64 330
1.3%
Distinct1
Distinct (%)< 0.1%
Missing31
Missing (%)0.1%
Memory size2.6 MiB
600.0
26177 

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters130885
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row600.0
2nd row600.0
3rd row600.0
4th row600.0
5th row600.0

Common Values

ValueCountFrequency (%)
600.0 26177
99.9%
(Missing) 31
 
0.1%

Length

2025-05-05T17:42:37.834510image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:42:37.867972image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
600.0 26177
100.0%

Most occurring characters

ValueCountFrequency (%)
0 78531
60.0%
6 26177
 
20.0%
. 26177
 
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 130885
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 78531
60.0%
6 26177
 
20.0%
. 26177
 
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 130885
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 78531
60.0%
6 26177
 
20.0%
. 26177
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 130885
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 78531
60.0%
6 26177
 
20.0%
. 26177
 
20.0%

HourCounters Average GridOn Avg. [h]
Real number (ℝ)

High correlation  Skewed 

Distinct29
Distinct (%)0.1%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean599.7813
Minimum0
Maximum605
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:37.908546image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile600
Q1600
median600
Q3600
95-th percentile600
Maximum605
Range605
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.5382985
Coefficient of variation (CV)0.014235686
Kurtosis2997.0924
Mean599.7813
Median Absolute Deviation (MAD)0
Skewness-52.23014
Sum15700475
Variance72.902541
MonotonicityNot monotonic
2025-05-05T17:42:37.971566image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
600 26137
99.7%
528 6
 
< 0.1%
530 3
 
< 0.1%
526 3
 
< 0.1%
604 3
 
< 0.1%
527 2
 
< 0.1%
590 1
 
< 0.1%
492 1
 
< 0.1%
584 1
 
< 0.1%
262 1
 
< 0.1%
Other values (19) 19
 
0.1%
(Missing) 31
 
0.1%
ValueCountFrequency (%)
0 1
< 0.1%
88 1
< 0.1%
89 1
< 0.1%
109 1
< 0.1%
167 1
< 0.1%
169 1
< 0.1%
262 1
< 0.1%
323 1
< 0.1%
363 1
< 0.1%
455 1
< 0.1%
ValueCountFrequency (%)
605 1
 
< 0.1%
604 3
 
< 0.1%
600 26137
99.7%
596 1
 
< 0.1%
590 1
 
< 0.1%
584 1
 
< 0.1%
581 1
 
< 0.1%
562 1
 
< 0.1%
547 1
 
< 0.1%
533 1
 
< 0.1%

HourCounters Average GridOk Avg. [h]
Real number (ℝ)

High correlation 

Distinct52
Distinct (%)0.2%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean595.65546
Minimum0
Maximum600
Zeros171
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:38.043106image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile600
Q1600
median600
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation49.713353
Coefficient of variation (CV)0.083459913
Kurtosis135.72486
Mean595.65546
Median Absolute Deviation (MAD)0
Skewness-11.685686
Sum15592473
Variance2471.4175
MonotonicityNot monotonic
2025-05-05T17:42:38.121134image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600 25945
99.0%
0 171
 
0.7%
528 4
 
< 0.1%
526 3
 
< 0.1%
562 2
 
< 0.1%
492 2
 
< 0.1%
182 2
 
< 0.1%
438 2
 
< 0.1%
530 2
 
< 0.1%
566 2
 
< 0.1%
Other values (42) 42
 
0.2%
(Missing) 31
 
0.1%
ValueCountFrequency (%)
0 171
0.7%
10 1
 
< 0.1%
49 1
 
< 0.1%
72 1
 
< 0.1%
105 1
 
< 0.1%
146 1
 
< 0.1%
151 1
 
< 0.1%
165 1
 
< 0.1%
179 1
 
< 0.1%
182 2
 
< 0.1%
ValueCountFrequency (%)
600 25945
99.0%
596 1
 
< 0.1%
594 1
 
< 0.1%
586 1
 
< 0.1%
581 1
 
< 0.1%
580 1
 
< 0.1%
570 1
 
< 0.1%
566 2
 
< 0.1%
562 2
 
< 0.1%
548 1
 
< 0.1%

HourCounters Average TurbineOk Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct75
Distinct (%)0.3%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean588.66738
Minimum0
Maximum600
Zeros460
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:38.198754image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile600
Q1600
median600
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation80.637706
Coefficient of variation (CV)0.13698348
Kurtosis48.319725
Mean588.66738
Median Absolute Deviation (MAD)0
Skewness-7.0736503
Sum15409546
Variance6502.4396
MonotonicityNot monotonic
2025-05-05T17:42:38.274856image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600 25639
97.8%
0 460
 
1.8%
182 2
 
< 0.1%
579 2
 
< 0.1%
470 2
 
< 0.1%
460 2
 
< 0.1%
562 2
 
< 0.1%
244 1
 
< 0.1%
10 1
 
< 0.1%
329 1
 
< 0.1%
Other values (65) 65
 
0.2%
(Missing) 31
 
0.1%
ValueCountFrequency (%)
0 460
1.8%
1 1
 
< 0.1%
7 1
 
< 0.1%
10 1
 
< 0.1%
23 1
 
< 0.1%
48 1
 
< 0.1%
49 1
 
< 0.1%
58 1
 
< 0.1%
62 1
 
< 0.1%
66 1
 
< 0.1%
ValueCountFrequency (%)
600 25639
97.8%
598 1
 
< 0.1%
596 1
 
< 0.1%
594 1
 
< 0.1%
590 1
 
< 0.1%
586 1
 
< 0.1%
579 2
 
< 0.1%
570 1
 
< 0.1%
566 1
 
< 0.1%
563 1
 
< 0.1%

HourCounters Average Run Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct143
Distinct (%)0.5%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean583.19009
Minimum0
Maximum600
Zeros667
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:38.352280image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile600
Q1600
median600
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation97.203439
Coefficient of variation (CV)0.16667539
Kurtosis31.077307
Mean583.19009
Median Absolute Deviation (MAD)0
Skewness-5.727245
Sum15266167
Variance9448.5085
MonotonicityNot monotonic
2025-05-05T17:42:38.429708image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600 25354
96.7%
0 667
 
2.5%
7 2
 
< 0.1%
268 2
 
< 0.1%
563 2
 
< 0.1%
493 2
 
< 0.1%
182 2
 
< 0.1%
432 2
 
< 0.1%
562 2
 
< 0.1%
369 2
 
< 0.1%
Other values (133) 140
 
0.5%
(Missing) 31
 
0.1%
ValueCountFrequency (%)
0 667
2.5%
5 1
 
< 0.1%
7 2
 
< 0.1%
21 1
 
< 0.1%
36 1
 
< 0.1%
47 1
 
< 0.1%
49 1
 
< 0.1%
58 1
 
< 0.1%
62 1
 
< 0.1%
64 1
 
< 0.1%
ValueCountFrequency (%)
600 25354
96.7%
599 1
 
< 0.1%
598 1
 
< 0.1%
596 1
 
< 0.1%
591 1
 
< 0.1%
590 1
 
< 0.1%
587 1
 
< 0.1%
586 1
 
< 0.1%
584 1
 
< 0.1%
579 1
 
< 0.1%

HourCounters Average Gen1 Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct451
Distinct (%)1.7%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean222.38194
Minimum0
Maximum600
Zeros16059
Zeros (%)61.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:38.507126image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)600

Descriptive statistics

Standard deviation286.30111
Coefficient of variation (CV)1.2874297
Kurtosis-1.6931103
Mean222.38194
Median Absolute Deviation (MAD)0
Skewness0.53482305
Sum5821292
Variance81968.324
MonotonicityNot monotonic
2025-05-05T17:42:38.584560image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16059
61.3%
600 9258
35.3%
415 6
 
< 0.1%
468 6
 
< 0.1%
47 5
 
< 0.1%
582 5
 
< 0.1%
492 5
 
< 0.1%
226 5
 
< 0.1%
225 5
 
< 0.1%
396 5
 
< 0.1%
Other values (441) 818
 
3.1%
(Missing) 31
 
0.1%
ValueCountFrequency (%)
0 16059
61.3%
1 1
 
< 0.1%
2 2
 
< 0.1%
4 3
 
< 0.1%
5 2
 
< 0.1%
7 3
 
< 0.1%
9 1
 
< 0.1%
10 2
 
< 0.1%
11 1
 
< 0.1%
12 1
 
< 0.1%
ValueCountFrequency (%)
600 9258
35.3%
599 1
 
< 0.1%
598 2
 
< 0.1%
596 2
 
< 0.1%
595 1
 
< 0.1%
591 2
 
< 0.1%
590 2
 
< 0.1%
588 3
 
< 0.1%
587 4
 
< 0.1%
586 2
 
< 0.1%

HourCounters Average Gen2 Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct591
Distinct (%)2.3%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean255.33476
Minimum0
Maximum600
Zeros13810
Zeros (%)52.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:38.662738image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)600

Descriptive statistics

Standard deviation285.57444
Coefficient of variation (CV)1.1184315
Kurtosis-1.8529338
Mean255.33476
Median Absolute Deviation (MAD)0
Skewness0.2931622
Sum6683898
Variance81552.763
MonotonicityNot monotonic
2025-05-05T17:42:38.891359image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 13810
52.7%
600 9447
36.0%
545 17
 
0.1%
561 17
 
0.1%
547 15
 
0.1%
557 15
 
0.1%
529 15
 
0.1%
528 14
 
0.1%
549 13
 
< 0.1%
558 13
 
< 0.1%
Other values (581) 2801
 
10.7%
(Missing) 31
 
0.1%
ValueCountFrequency (%)
0 13810
52.7%
1 3
 
< 0.1%
2 5
 
< 0.1%
3 3
 
< 0.1%
4 4
 
< 0.1%
5 3
 
< 0.1%
6 1
 
< 0.1%
7 6
 
< 0.1%
8 2
 
< 0.1%
9 3
 
< 0.1%
ValueCountFrequency (%)
600 9447
36.0%
599 3
 
< 0.1%
598 3
 
< 0.1%
597 4
 
< 0.1%
596 8
 
< 0.1%
595 2
 
< 0.1%
594 3
 
< 0.1%
593 3
 
< 0.1%
592 4
 
< 0.1%
591 10
 
< 0.1%

HourCounters Average Yaw Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct283
Distinct (%)1.1%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean32.095313
Minimum0
Maximum600
Zeros9659
Zeros (%)36.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:38.970588image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median18
Q347
95-th percentile113
Maximum600
Range600
Interquartile range (IQR)47

Descriptive statistics

Standard deviation42.350084
Coefficient of variation (CV)1.3195099
Kurtosis17.150695
Mean32.095313
Median Absolute Deviation (MAD)18
Skewness2.762116
Sum840159
Variance1793.5296
MonotonicityNot monotonic
2025-05-05T17:42:39.047941image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9659
36.9%
16 466
 
1.8%
15 463
 
1.8%
14 433
 
1.7%
13 432
 
1.6%
18 392
 
1.5%
19 368
 
1.4%
17 360
 
1.4%
20 338
 
1.3%
12 305
 
1.2%
Other values (273) 12961
49.5%
ValueCountFrequency (%)
0 9659
36.9%
1 19
 
0.1%
2 17
 
0.1%
3 30
 
0.1%
4 17
 
0.1%
5 19
 
0.1%
6 21
 
0.1%
7 31
 
0.1%
8 24
 
0.1%
9 58
 
0.2%
ValueCountFrequency (%)
600 7
< 0.1%
582 1
 
< 0.1%
546 1
 
< 0.1%
543 1
 
< 0.1%
486 1
 
< 0.1%
436 1
 
< 0.1%
430 1
 
< 0.1%
429 1
 
< 0.1%
415 1
 
< 0.1%
395 1
 
< 0.1%

HourCounters Average ServiceOn Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct57
Distinct (%)0.2%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean4.1208695
Minimum0
Maximum605
Zeros25962
Zeros (%)99.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:39.125458image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum605
Range605
Interquartile range (IQR)0

Descriptive statistics

Standard deviation48.388844
Coefficient of variation (CV)11.742387
Kurtosis142.58193
Mean4.1208695
Median Absolute Deviation (MAD)0
Skewness11.968647
Sum107872
Variance2341.4802
MonotonicityNot monotonic
2025-05-05T17:42:39.203074image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25962
99.1%
600 155
 
0.6%
418 2
 
< 0.1%
162 2
 
< 0.1%
6 2
 
< 0.1%
604 2
 
< 0.1%
34 2
 
< 0.1%
270 1
 
< 0.1%
434 1
 
< 0.1%
584 1
 
< 0.1%
Other values (47) 47
 
0.2%
(Missing) 31
 
0.1%
ValueCountFrequency (%)
0 25962
99.1%
1 1
 
< 0.1%
6 2
 
< 0.1%
14 1
 
< 0.1%
15 1
 
< 0.1%
20 1
 
< 0.1%
29 1
 
< 0.1%
34 2
 
< 0.1%
37 1
 
< 0.1%
41 1
 
< 0.1%
ValueCountFrequency (%)
605 1
 
< 0.1%
604 2
 
< 0.1%
600 155
0.6%
589 1
 
< 0.1%
584 1
 
< 0.1%
551 1
 
< 0.1%
528 1
 
< 0.1%
492 1
 
< 0.1%
490 1
 
< 0.1%
484 1
 
< 0.1%

HourCounters Average AmbientOk Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct113
Distinct (%)0.4%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean590.45338
Minimum0
Maximum600
Zeros367
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:39.279594image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile600
Q1600
median600
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation73.292419
Coefficient of variation (CV)0.12412905
Kurtosis58.778702
Mean590.45338
Median Absolute Deviation (MAD)0
Skewness-7.7584182
Sum15456298
Variance5371.7787
MonotonicityNot monotonic
2025-05-05T17:42:39.357265image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600 25679
98.0%
0 367
 
1.4%
528 4
 
< 0.1%
562 3
 
< 0.1%
541 3
 
< 0.1%
526 3
 
< 0.1%
182 2
 
< 0.1%
540 2
 
< 0.1%
517 2
 
< 0.1%
590 2
 
< 0.1%
Other values (103) 110
 
0.4%
(Missing) 31
 
0.1%
ValueCountFrequency (%)
0 367
1.4%
1 1
 
< 0.1%
5 1
 
< 0.1%
10 1
 
< 0.1%
21 1
 
< 0.1%
36 1
 
< 0.1%
40 1
 
< 0.1%
49 1
 
< 0.1%
72 1
 
< 0.1%
77 1
 
< 0.1%
ValueCountFrequency (%)
600 25679
98.0%
599 1
 
< 0.1%
596 1
 
< 0.1%
594 1
 
< 0.1%
590 2
 
< 0.1%
587 1
 
< 0.1%
586 1
 
< 0.1%
584 1
 
< 0.1%
581 1
 
< 0.1%
580 1
 
< 0.1%

HourCounters Average WindOk Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct601
Distinct (%)2.3%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean430.13787
Minimum0
Maximum604
Zeros5953
Zeros (%)22.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:39.435034image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1117
median600
Q3600
95-th percentile600
Maximum604
Range604
Interquartile range (IQR)483

Descriptive statistics

Standard deviation257.41116
Coefficient of variation (CV)0.59843873
Kurtosis-0.97286759
Mean430.13787
Median Absolute Deviation (MAD)0
Skewness-0.9651257
Sum11259719
Variance66260.505
MonotonicityNot monotonic
2025-05-05T17:42:39.514673image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600 17071
65.1%
0 5953
 
22.7%
578 14
 
0.1%
577 14
 
0.1%
569 14
 
0.1%
49 13
 
< 0.1%
547 13
 
< 0.1%
490 12
 
< 0.1%
485 12
 
< 0.1%
445 12
 
< 0.1%
Other values (591) 3049
 
11.6%
(Missing) 31
 
0.1%
ValueCountFrequency (%)
0 5953
22.7%
1 6
 
< 0.1%
2 5
 
< 0.1%
3 4
 
< 0.1%
4 6
 
< 0.1%
5 5
 
< 0.1%
6 6
 
< 0.1%
7 6
 
< 0.1%
8 5
 
< 0.1%
9 2
 
< 0.1%
ValueCountFrequency (%)
604 1
 
< 0.1%
600 17071
65.1%
599 5
 
< 0.1%
598 6
 
< 0.1%
597 5
 
< 0.1%
596 8
 
< 0.1%
595 8
 
< 0.1%
594 4
 
< 0.1%
593 8
 
< 0.1%
592 5
 
< 0.1%

HourCounters Average AlarmActive Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct151
Distinct (%)0.6%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean16.334339
Minimum0
Maximum605
Zeros25363
Zeros (%)96.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:39.593481image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum605
Range605
Interquartile range (IQR)0

Descriptive statistics

Standard deviation95.652425
Coefficient of variation (CV)5.8559103
Kurtosis32.243418
Mean16.334339
Median Absolute Deviation (MAD)0
Skewness5.8245746
Sum427584
Variance9149.3865
MonotonicityNot monotonic
2025-05-05T17:42:39.671159image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25363
96.8%
600 641
 
2.4%
121 3
 
< 0.1%
37 3
 
< 0.1%
194 2
 
< 0.1%
418 2
 
< 0.1%
181 2
 
< 0.1%
3 2
 
< 0.1%
604 2
 
< 0.1%
196 2
 
< 0.1%
Other values (141) 155
 
0.6%
(Missing) 31
 
0.1%
ValueCountFrequency (%)
0 25363
96.8%
1 1
 
< 0.1%
2 1
 
< 0.1%
3 2
 
< 0.1%
9 1
 
< 0.1%
10 1
 
< 0.1%
13 1
 
< 0.1%
14 1
 
< 0.1%
16 1
 
< 0.1%
19 1
 
< 0.1%
ValueCountFrequency (%)
605 1
 
< 0.1%
604 2
 
< 0.1%
600 641
2.4%
595 1
 
< 0.1%
593 1
 
< 0.1%
592 1
 
< 0.1%
590 1
 
< 0.1%
584 1
 
< 0.1%
579 1
 
< 0.1%
564 1
 
< 0.1%

Total hour counter [h]
Real number (ℝ)

High correlation  Uniform 

Distinct4366
Distinct (%)16.7%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean3.8433876 × 108
Minimum3.764808 × 108
Maximum3.922056 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:39.748520image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum3.764808 × 108
5-th percentile3.772656 × 108
Q13.8040838 × 108
median3.84336 × 108
Q33.882672 × 108
95-th percentile3.914208 × 108
Maximum3.922056 × 108
Range15724800
Interquartile range (IQR)7858816

Descriptive statistics

Standard deviation4539292
Coefficient of variation (CV)0.011810654
Kurtosis-1.1991709
Mean3.8433876 × 108
Median Absolute Deviation (MAD)3931200
Skewness0.001382335
Sum1.0060836 × 1013
Variance2.0605172 × 1013
MonotonicityIncreasing
2025-05-05T17:42:39.833030image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
386960384 6
 
< 0.1%
386956800 6
 
< 0.1%
386953216 6
 
< 0.1%
386949600 6
 
< 0.1%
387003584 6
 
< 0.1%
387000000 6
 
< 0.1%
386996416 6
 
< 0.1%
387082816 6
 
< 0.1%
386931584 6
 
< 0.1%
386928000 6
 
< 0.1%
Other values (4356) 26117
99.7%
(Missing) 31
 
0.1%
ValueCountFrequency (%)
376480800 4
< 0.1%
376484416 6
< 0.1%
376488000 6
< 0.1%
376491584 6
< 0.1%
376495200 6
< 0.1%
376498816 6
< 0.1%
376502400 6
< 0.1%
376505984 6
< 0.1%
376509600 6
< 0.1%
376513216 6
< 0.1%
ValueCountFrequency (%)
392205600 2
 
< 0.1%
392201984 6
< 0.1%
392198400 6
< 0.1%
392194816 6
< 0.1%
392191200 6
< 0.1%
392187584 6
< 0.1%
392184000 6
< 0.1%
392180416 6
< 0.1%
392176800 6
< 0.1%
392173184 6
< 0.1%

Grid on hours [h]
Real number (ℝ)

High correlation  Uniform 

Distinct26177
Distinct (%)100.0%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean3.7798537 × 108
Minimum3.7013174 × 108
Maximum3.8583773 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:39.916447image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum3.7013174 × 108
5-th percentile3.7091703 × 108
Q13.7405808 × 108
median3.7798525 × 108
Q33.8191245 × 108
95-th percentile3.8505251 × 108
Maximum3.8583773 × 108
Range15705984
Interquartile range (IQR)7854368

Descriptive statistics

Standard deviation4534663.3
Coefficient of variation (CV)0.011996928
Kurtosis-1.2004786
Mean3.7798537 × 108
Median Absolute Deviation (MAD)3927200
Skewness-0.00024564165
Sum9.894523 × 1012
Variance2.0563172 × 1013
MonotonicityStrictly increasing
2025-05-05T17:42:40.000366image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
380610496 1
 
< 0.1%
380609888 1
 
< 0.1%
380609312 1
 
< 0.1%
380608704 1
 
< 0.1%
380608096 1
 
< 0.1%
380607488 1
 
< 0.1%
380606912 1
 
< 0.1%
380606304 1
 
< 0.1%
380605696 1
 
< 0.1%
380605088 1
 
< 0.1%
Other values (26167) 26167
99.8%
(Missing) 31
 
0.1%
ValueCountFrequency (%)
370131744 1
< 0.1%
370132352 1
< 0.1%
370132960 1
< 0.1%
370133568 1
< 0.1%
370134144 1
< 0.1%
370134752 1
< 0.1%
370135360 1
< 0.1%
370135936 1
< 0.1%
370136544 1
< 0.1%
370137152 1
< 0.1%
ValueCountFrequency (%)
385837728 1
< 0.1%
385837120 1
< 0.1%
385836512 1
< 0.1%
385835936 1
< 0.1%
385835328 1
< 0.1%
385834720 1
< 0.1%
385834112 1
< 0.1%
385833536 1
< 0.1%
385832928 1
< 0.1%
385832320 1
< 0.1%

Grid ok hours [h]
Real number (ℝ)

High correlation  Uniform 

Distinct26007
Distinct (%)99.4%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean3.6937073 × 108
Minimum3.6156042 × 108
Maximum3.7715779 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:40.083076image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum3.6156042 × 108
5-th percentile3.6233825 × 108
Q13.6547869 × 108
median3.6938016 × 108
Q33.7326768 × 108
95-th percentile3.7638712 × 108
Maximum3.7715779 × 108
Range15597376
Interquartile range (IQR)7788992

Descriptive statistics

Standard deviation4503235.6
Coefficient of variation (CV)0.012191642
Kurtosis-1.1989612
Mean3.6937073 × 108
Median Absolute Deviation (MAD)3892768
Skewness-0.0034305743
Sum9.6690176 × 1012
Variance2.0279131 × 1013
MonotonicityIncreasing
2025-05-05T17:42:40.162894image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
371663616 34
 
0.1%
365740928 25
 
0.1%
377127008 24
 
0.1%
374724640 19
 
0.1%
372591680 18
 
0.1%
373272928 18
 
0.1%
362130432 12
 
< 0.1%
370471616 12
 
< 0.1%
369257792 6
 
< 0.1%
367131584 6
 
< 0.1%
Other values (25997) 26003
99.2%
(Missing) 31
 
0.1%
ValueCountFrequency (%)
361560416 1
< 0.1%
361561024 1
< 0.1%
361561600 1
< 0.1%
361562208 1
< 0.1%
361562816 1
< 0.1%
361563424 1
< 0.1%
361564000 1
< 0.1%
361564608 1
< 0.1%
361565216 1
< 0.1%
361565824 1
< 0.1%
ValueCountFrequency (%)
377157792 1
< 0.1%
377157184 1
< 0.1%
377156576 1
< 0.1%
377155968 1
< 0.1%
377155392 1
< 0.1%
377154784 1
< 0.1%
377154176 1
< 0.1%
377153568 1
< 0.1%
377152992 1
< 0.1%
377152384 1
< 0.1%

Turbine ok hours [h]
Real number (ℝ)

High correlation 

Distinct25716
Distinct (%)98.2%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean3.6613783 × 108
Minimum3.5840781 × 108
Maximum3.7382224 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:40.244121image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum3.5840781 × 108
5-th percentile3.5918561 × 108
Q13.6232566 × 108
median3.6617699 × 108
Q33.6993862 × 108
95-th percentile3.7305164 × 108
Maximum3.7382224 × 108
Range15414432
Interquartile range (IQR)7612960

Descriptive statistics

Standard deviation4429975.2
Coefficient of variation (CV)0.012099201
Kurtosis-1.185414
Mean3.6613783 × 108
Median Absolute Deviation (MAD)3798752
Skewness-0.0096035919
Sum9.5843901 × 1012
Variance1.9624681 × 1013
MonotonicityIncreasing
2025-05-05T17:42:40.472913image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
364760640 84
 
0.3%
367025728 59
 
0.2%
366707104 37
 
0.1%
368377824 34
 
0.1%
369938624 31
 
0.1%
369274432 26
 
0.1%
369215168 25
 
0.1%
362587936 25
 
0.1%
367712544 24
 
0.1%
373791456 24
 
0.1%
Other values (25706) 25808
98.5%
(Missing) 31
 
0.1%
ValueCountFrequency (%)
358407808 1
< 0.1%
358408384 1
< 0.1%
358408992 1
< 0.1%
358409600 1
< 0.1%
358410208 1
< 0.1%
358410816 1
< 0.1%
358411392 1
< 0.1%
358412000 1
< 0.1%
358412608 1
< 0.1%
358413184 1
< 0.1%
ValueCountFrequency (%)
373822240 1
< 0.1%
373821632 1
< 0.1%
373821056 1
< 0.1%
373820448 1
< 0.1%
373819840 1
< 0.1%
373819232 1
< 0.1%
373818656 1
< 0.1%
373818048 1
< 0.1%
373817440 1
< 0.1%
373816832 1
< 0.1%

Run hours [h]
Real number (ℝ)

High correlation 

Distinct25508
Distinct (%)97.4%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean3.5531045 × 108
Minimum3.4764403 × 108
Maximum3.6291456 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:40.555810image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum3.4764403 × 108
5-th percentile3.4842184 × 108
Q13.5154717 × 108
median3.553231 × 108
Q33.5906685 × 108
95-th percentile3.6214415 × 108
Maximum3.6291456 × 108
Range15270528
Interquartile range (IQR)7519680

Descriptive statistics

Standard deviation4379572
Coefficient of variation (CV)0.012326043
Kurtosis-1.1803473
Mean3.5531045 × 108
Median Absolute Deviation (MAD)3752064
Skewness-0.011793523
Sum9.3009616 × 1012
Variance1.9180651 × 1013
MonotonicityIncreasing
2025-05-05T17:42:40.636634image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
353977568 84
 
0.3%
356171456 59
 
0.2%
354870720 58
 
0.2%
355853248 37
 
0.1%
357517344 34
 
0.1%
359066848 31
 
0.1%
358413472 26
 
0.1%
351807392 25
 
0.1%
354871648 25
 
0.1%
358354368 25
 
0.1%
Other values (25498) 25773
98.3%
(Missing) 31
 
0.1%
ValueCountFrequency (%)
347644032 1
< 0.1%
347644640 1
< 0.1%
347645216 1
< 0.1%
347645824 1
< 0.1%
347646432 1
< 0.1%
347647040 1
< 0.1%
347647616 1
< 0.1%
347648224 1
< 0.1%
347648832 1
< 0.1%
347649440 1
< 0.1%
ValueCountFrequency (%)
362914560 1
< 0.1%
362913984 1
< 0.1%
362913376 1
< 0.1%
362912768 1
< 0.1%
362912160 1
< 0.1%
362911584 1
< 0.1%
362910976 1
< 0.1%
362910368 1
< 0.1%
362909760 1
< 0.1%
362909184 1
< 0.1%

Generator 1 hours [h]
Real number (ℝ)

High correlation 

Distinct10111
Distinct (%)38.6%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.4930863 × 108
Minimum1.4626323 × 108
Maximum1.5208461 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:40.719638image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.4626323 × 108
5-th percentile1.4664301 × 108
Q11.4772826 × 108
median1.4941221 × 108
Q31.5073949 × 108
95-th percentile1.5193516 × 108
Maximum1.5208461 × 108
Range5821376
Interquartile range (IQR)3011232

Descriptive statistics

Standard deviation1699400.6
Coefficient of variation (CV)0.011381797
Kurtosis-1.1882411
Mean1.4930863 × 108
Median Absolute Deviation (MAD)1476640
Skewness-0.16777357
Sum3.908452 × 1012
Variance2.8879623 × 1012
MonotonicityIncreasing
2025-05-05T17:42:40.802874image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
149915216 715
 
2.7%
150216688 562
 
2.1%
146818400 562
 
2.1%
147324944 523
 
2.0%
146643008 492
 
1.9%
151997008 475
 
1.8%
149165808 381
 
1.5%
150565232 377
 
1.4%
150010368 359
 
1.4%
151372448 356
 
1.4%
Other values (10101) 21375
81.6%
ValueCountFrequency (%)
146263232 72
0.3%
146263552 1
 
< 0.1%
146264144 1
 
< 0.1%
146264752 1
 
< 0.1%
146265344 1
 
< 0.1%
146265952 1
 
< 0.1%
146266544 1
 
< 0.1%
146267152 1
 
< 0.1%
146267744 1
 
< 0.1%
146268352 1
 
< 0.1%
ValueCountFrequency (%)
152084608 92
0.4%
152084432 1
 
< 0.1%
152083840 1
 
< 0.1%
152083232 1
 
< 0.1%
152082640 1
 
< 0.1%
152082032 1
 
< 0.1%
152081440 1
 
< 0.1%
152080832 1
 
< 0.1%
152080240 1
 
< 0.1%
152079632 1
 
< 0.1%

Generator 2 hours [h]
Real number (ℝ)

High correlation 

Distinct12351
Distinct (%)47.2%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.2151094 × 108
Minimum1.1822174 × 108
Maximum1.2490624 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:40.883116image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.1822174 × 108
5-th percentile1.1859204 × 108
Q11.1992802 × 108
median1.2151035 × 108
Q31.2305662 × 108
95-th percentile1.2445293 × 108
Maximum1.2490624 × 108
Range6684504
Interquartile range (IQR)3128608

Descriptive statistics

Standard deviation1883987.6
Coefficient of variation (CV)0.015504675
Kurtosis-1.17925
Mean1.2151094 × 108
Median Absolute Deviation (MAD)1573056
Skewness0.047945321
Sum3.1807918 × 1012
Variance3.5494092 × 1012
MonotonicityIncreasing
2025-05-05T17:42:40.964803image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
121672016 402
 
1.5%
119275216 339
 
1.3%
121258032 283
 
1.1%
120318624 269
 
1.0%
123938592 243
 
0.9%
119575400 228
 
0.9%
124452928 221
 
0.8%
120414736 214
 
0.8%
120329768 187
 
0.7%
122180160 185
 
0.7%
Other values (12341) 23606
90.1%
ValueCountFrequency (%)
118221736 1
< 0.1%
118222336 1
< 0.1%
118222936 1
< 0.1%
118223504 1
< 0.1%
118224104 1
< 0.1%
118224704 1
< 0.1%
118225264 1
< 0.1%
118225864 1
< 0.1%
118226464 1
< 0.1%
118227064 1
< 0.1%
ValueCountFrequency (%)
124906240 1
< 0.1%
124905648 1
< 0.1%
124905040 1
< 0.1%
124904440 1
< 0.1%
124903840 1
< 0.1%
124903240 1
< 0.1%
124902640 1
< 0.1%
124902048 1
< 0.1%
124901440 1
< 0.1%
124900848 1
< 0.1%

Yaw hours [h]
Real number (ℝ)

High correlation 

Distinct16514
Distinct (%)63.1%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean19615402
Minimum19202378
Maximum20044058
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:41.048119image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum19202378
5-th percentile19243064
Q119401224
median19631144
Q319809460
95-th percentile20002984
Maximum20044058
Range841680
Interquartile range (IQR)408236

Descriptive statistics

Standard deviation245070.03
Coefficient of variation (CV)0.012493755
Kurtosis-1.1626568
Mean19615402
Median Absolute Deviation (MAD)205788
Skewness-0.011936345
Sum5.1347237 × 1011
Variance6.0059318 × 1010
MonotonicityIncreasing
2025-05-05T17:42:41.127429image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19253168 101
 
0.4%
19677172 97
 
0.4%
19785480 88
 
0.3%
19679118 78
 
0.3%
20043280 58
 
0.2%
19247292 54
 
0.2%
19333750 53
 
0.2%
19846418 48
 
0.2%
19677896 46
 
0.2%
19697670 45
 
0.2%
Other values (16504) 25509
97.3%
ValueCountFrequency (%)
19202378 1
 
< 0.1%
19202400 1
 
< 0.1%
19202424 2
 
< 0.1%
19202444 3
 
< 0.1%
19202468 2
 
< 0.1%
19202488 2
 
< 0.1%
19202516 6
< 0.1%
19202536 3
 
< 0.1%
19202588 2
 
< 0.1%
19202628 11
< 0.1%
ValueCountFrequency (%)
20044058 6
< 0.1%
20044044 3
 
< 0.1%
20044028 4
< 0.1%
20044012 4
< 0.1%
20044008 1
 
< 0.1%
20043996 1
 
< 0.1%
20043976 4
< 0.1%
20043956 9
< 0.1%
20043940 5
< 0.1%
20043920 1
 
< 0.1%

Service hours [h]
Real number (ℝ)

High correlation 

Distinct216
Distinct (%)0.8%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean7779314
Minimum7736075
Maximum7844563
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:41.207386image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum7736075
5-th percentile7743535
Q17744115
median7769764
Q37809450
95-th percentile7830014
Maximum7844563
Range108488
Interquartile range (IQR)65335

Descriptive statistics

Standard deviation32370.428
Coefficient of variation (CV)0.0041610903
Kurtosis-1.3013945
Mean7779314
Median Absolute Deviation (MAD)25649
Skewness0.41508489
Sum2.036391 × 1011
Variance1.0478446 × 109
MonotonicityIncreasing
2025-05-05T17:42:41.290459image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7830014 4004
15.3%
7744115 3871
14.8%
7819913 2419
9.2%
7758862 2317
8.8%
7743535 2147
8.2%
7766652 1693
 
6.5%
7769764 1458
 
5.6%
7798977 1440
 
5.5%
7778967 1108
 
4.2%
7762522 961
 
3.7%
Other values (206) 4759
18.2%
ValueCountFrequency (%)
7736075 951
3.6%
7736665 1
 
< 0.1%
7737264 1
 
< 0.1%
7737867 1
 
< 0.1%
7738465 1
 
< 0.1%
7739065 1
 
< 0.1%
7739665 1
 
< 0.1%
7740265 1
 
< 0.1%
7740865 1
 
< 0.1%
7741467 1
 
< 0.1%
ValueCountFrequency (%)
7844563 52
0.2%
7844142 1
 
< 0.1%
7843542 1
 
< 0.1%
7842942 1
 
< 0.1%
7842344 1
 
< 0.1%
7841743 1
 
< 0.1%
7841143 1
 
< 0.1%
7840542 1
 
< 0.1%
7839942 1
 
< 0.1%
7839342 1
 
< 0.1%

Ambient ok hours [h]
Real number (ℝ)

High correlation 

Distinct25808
Distinct (%)98.6%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean3.66158 × 108
Minimum3.5840733 × 108
Maximum3.7386854 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:41.369756image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum3.5840733 × 108
5-th percentile3.5918516 × 108
Q13.6231178 × 108
median3.6614086 × 108
Q33.7001334 × 108
95-th percentile3.7309788 × 108
Maximum3.7386854 × 108
Range15461216
Interquartile range (IQR)7701568

Descriptive statistics

Standard deviation4455360.4
Coefficient of variation (CV)0.012167863
Kurtosis-1.194185
Mean3.66158 × 108
Median Absolute Deviation (MAD)3850880
Skewness-0.0055359363
Sum9.5849179 × 1012
Variance1.9850236 × 1013
MonotonicityIncreasing
2025-05-05T17:42:41.452658image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
365688352 58
 
0.2%
368418784 34
 
0.1%
365689312 25
 
0.1%
362574048 25
 
0.1%
373837760 24
 
0.1%
371468672 19
 
0.1%
370018560 18
 
0.1%
369346816 18
 
0.1%
371736384 17
 
0.1%
365675840 15
 
0.1%
Other values (25798) 25924
98.9%
(Missing) 31
 
0.1%
ValueCountFrequency (%)
358407328 1
< 0.1%
358407936 1
< 0.1%
358408544 1
< 0.1%
358409152 1
< 0.1%
358409728 1
< 0.1%
358410336 1
< 0.1%
358410944 1
< 0.1%
358411552 1
< 0.1%
358412128 1
< 0.1%
358412736 1
< 0.1%
ValueCountFrequency (%)
373868544 1
< 0.1%
373867936 1
< 0.1%
373867328 1
< 0.1%
373866752 1
< 0.1%
373866144 1
< 0.1%
373865536 1
< 0.1%
373864928 1
< 0.1%
373864352 1
< 0.1%
373863744 1
< 0.1%
373863136 1
< 0.1%

Wind ok hours [h]
Real number (ℝ)

High correlation 

Distinct20184
Distinct (%)77.1%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean2.5938366 × 108
Minimum2.5366227 × 108
Maximum2.6492328 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:41.537517image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2.5366227 × 108
5-th percentile2.5435971 × 108
Q12.5649731 × 108
median2.5949011 × 108
Q32.6206072 × 108
95-th percentile2.6441243 × 108
Maximum2.6492328 × 108
Range11261008
Interquartile range (IQR)5563408

Descriptive statistics

Standard deviation3225166.7
Coefficient of variation (CV)0.012433963
Kurtosis-1.187957
Mean2.5938366 × 108
Median Absolute Deviation (MAD)2773200
Skewness-0.069636669
Sum6.789886 × 1012
Variance1.04017 × 1013
MonotonicityIncreasing
2025-05-05T17:42:41.617172image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
261771616 166
 
0.6%
254570224 119
 
0.5%
264580256 113
 
0.4%
260499712 109
 
0.4%
256090624 98
 
0.4%
260299552 97
 
0.4%
260550944 95
 
0.4%
262476160 88
 
0.3%
261771632 86
 
0.3%
254928896 86
 
0.3%
Other values (20174) 25120
95.8%
ValueCountFrequency (%)
253662272 1
< 0.1%
253662400 1
< 0.1%
253662688 1
< 0.1%
253662800 1
< 0.1%
253663280 1
< 0.1%
253663392 1
< 0.1%
253663696 1
< 0.1%
253664304 1
< 0.1%
253664896 1
< 0.1%
253665504 1
< 0.1%
ValueCountFrequency (%)
264923280 1
< 0.1%
264922672 1
< 0.1%
264922080 1
< 0.1%
264921472 1
< 0.1%
264920880 1
< 0.1%
264920272 1
< 0.1%
264919680 1
< 0.1%
264919072 1
< 0.1%
264918480 1
< 0.1%
264917872 1
< 0.1%

Production LatestAverage Active Power Gen 0 Avg. [W]
Real number (ℝ)

High correlation  Zeros 

Distinct1827
Distinct (%)7.0%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean-426.23639
Minimum-3226
Maximum0
Zeros19394
Zeros (%)74.0%
Negative6783
Negative (%)25.9%
Memory size1.4 MiB
2025-05-05T17:42:41.695266image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3226
5-th percentile-2219
Q1-125
median0
Q30
95-th percentile0
Maximum0
Range3226
Interquartile range (IQR)125

Descriptive statistics

Standard deviation825.23001
Coefficient of variation (CV)-1.9360853
Kurtosis0.61501968
Mean-426.23639
Median Absolute Deviation (MAD)0
Skewness-1.5694824
Sum-11157590
Variance681004.56
MonotonicityNot monotonic
2025-05-05T17:42:41.771724image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19394
74.0%
-1 92
 
0.4%
-2108 32
 
0.1%
-2111 31
 
0.1%
-2121 27
 
0.1%
-2113 27
 
0.1%
-2101 27
 
0.1%
-2150 27
 
0.1%
-2112 26
 
0.1%
-2170 26
 
0.1%
Other values (1817) 6468
 
24.7%
(Missing) 31
 
0.1%
ValueCountFrequency (%)
-3226 1
< 0.1%
-3100 1
< 0.1%
-3064 1
< 0.1%
-3021 1
< 0.1%
-3020 1
< 0.1%
-3007 1
< 0.1%
-2989 1
< 0.1%
-2970 1
< 0.1%
-2959 1
< 0.1%
-2917 1
< 0.1%
ValueCountFrequency (%)
0 19394
74.0%
-1 92
 
0.4%
-4 1
 
< 0.1%
-6 1
 
< 0.1%
-10 1
 
< 0.1%
-12 1
 
< 0.1%
-13 1
 
< 0.1%
-17 1
 
< 0.1%
-18 1
 
< 0.1%
-25 2
 
< 0.1%

Production LatestAverage Active Power Gen 1 Avg. [W]
Real number (ℝ)

High correlation  Zeros 

Distinct9779
Distinct (%)37.4%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean105932.55
Minimum-35
Maximum508409
Zeros16037
Zeros (%)61.2%
Negative1
Negative (%)< 0.1%
Memory size1.4 MiB
2025-05-05T17:42:41.995856image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-35
5-th percentile0
Q10
median0
Q3186391
95-th percentile480991.2
Maximum508409
Range508444
Interquartile range (IQR)186391

Descriptive statistics

Standard deviation161100.05
Coefficient of variation (CV)1.5207795
Kurtosis0.22069127
Mean105932.55
Median Absolute Deviation (MAD)0
Skewness1.2821913
Sum2.7729963 × 109
Variance2.5953226 × 1010
MonotonicityNot monotonic
2025-05-05T17:42:42.076392image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16037
61.2%
1 21
 
0.1%
500051 10
 
< 0.1%
500050 10
 
< 0.1%
500040 8
 
< 0.1%
500052 8
 
< 0.1%
500061 7
 
< 0.1%
500073 7
 
< 0.1%
500055 6
 
< 0.1%
500035 6
 
< 0.1%
Other values (9769) 10057
38.4%
(Missing) 31
 
0.1%
ValueCountFrequency (%)
-35 1
 
< 0.1%
0 16037
61.2%
1 21
 
0.1%
55 1
 
< 0.1%
119 1
 
< 0.1%
148 1
 
< 0.1%
169 1
 
< 0.1%
229 1
 
< 0.1%
251 1
 
< 0.1%
413 1
 
< 0.1%
ValueCountFrequency (%)
508409 1
< 0.1%
508399 1
< 0.1%
508398 1
< 0.1%
508387 1
< 0.1%
508383 1
< 0.1%
508373 1
< 0.1%
508322 1
< 0.1%
508314 1
< 0.1%
508306 2
< 0.1%
508286 1
< 0.1%

Production LatestAverage Active Power Gen 2 Avg. [W]
Real number (ℝ)

High correlation  Zeros 

Distinct11456
Distinct (%)43.8%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean17005.622
Minimum-1190
Maximum144428
Zeros13746
Zeros (%)52.4%
Negative196
Negative (%)0.7%
Memory size1.4 MiB
2025-05-05T17:42:42.154349image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1190
5-th percentile0
Q10
median0
Q327314
95-th percentile76996.4
Maximum144428
Range145618
Interquartile range (IQR)27314

Descriptive statistics

Standard deviation26691.409
Coefficient of variation (CV)1.5695638
Kurtosis2.3147084
Mean17005.622
Median Absolute Deviation (MAD)0
Skewness1.7136625
Sum4.4515616 × 108
Variance7.1243129 × 108
MonotonicityNot monotonic
2025-05-05T17:42:42.235798image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 13746
52.4%
1 69
 
0.3%
-1 11
 
< 0.1%
21505 4
 
< 0.1%
7602 4
 
< 0.1%
8931 3
 
< 0.1%
287 3
 
< 0.1%
12710 3
 
< 0.1%
-20 3
 
< 0.1%
45543 3
 
< 0.1%
Other values (11446) 12328
47.0%
(Missing) 31
 
0.1%
ValueCountFrequency (%)
-1190 1
< 0.1%
-1125 1
< 0.1%
-1118 1
< 0.1%
-1095 1
< 0.1%
-1091 1
< 0.1%
-1083 1
< 0.1%
-1042 1
< 0.1%
-978 1
< 0.1%
-827 1
< 0.1%
-815 1
< 0.1%
ValueCountFrequency (%)
144428 1
< 0.1%
142649 1
< 0.1%
139030 1
< 0.1%
136978 1
< 0.1%
135891 1
< 0.1%
134907 1
< 0.1%
134456 1
< 0.1%
134395 1
< 0.1%
134287 1
< 0.1%
134080 1
< 0.1%

Production LatestAverage Total Active Power Avg. [W]
Real number (ℝ)

High correlation 

Distinct21140
Distinct (%)80.8%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean122511.93
Minimum-3226
Maximum508409
Zeros1
Zeros (%)< 0.1%
Negative5029
Negative (%)19.2%
Memory size1.4 MiB
2025-05-05T17:42:42.317729image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3226
5-th percentile-2222.2
Q17870
median51528
Q3187148
95-th percentile480991.2
Maximum508409
Range511635
Interquartile range (IQR)179278

Descriptive statistics

Standard deviation152560.58
Coefficient of variation (CV)1.2452712
Kurtosis0.31944729
Mean122511.93
Median Absolute Deviation (MAD)53608
Skewness1.2668986
Sum3.2069949 × 109
Variance2.3274732 × 1010
MonotonicityNot monotonic
2025-05-05T17:42:42.399138image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-2108 33
 
0.1%
-2111 31
 
0.1%
-2121 28
 
0.1%
-2101 27
 
0.1%
-2143 26
 
0.1%
-2170 26
 
0.1%
-2113 26
 
0.1%
-2150 26
 
0.1%
-2112 25
 
0.1%
-2145 25
 
0.1%
Other values (21130) 25904
98.8%
(Missing) 31
 
0.1%
ValueCountFrequency (%)
-3226 1
< 0.1%
-3100 1
< 0.1%
-3064 1
< 0.1%
-3021 1
< 0.1%
-3020 1
< 0.1%
-3007 1
< 0.1%
-2989 1
< 0.1%
-2970 1
< 0.1%
-2959 1
< 0.1%
-2917 1
< 0.1%
ValueCountFrequency (%)
508409 1
< 0.1%
508399 1
< 0.1%
508398 1
< 0.1%
508387 1
< 0.1%
508383 1
< 0.1%
508373 1
< 0.1%
508322 1
< 0.1%
508314 1
< 0.1%
508306 2
< 0.1%
508286 1
< 0.1%

Production LatestAverage Reactive Power Gen 0 Avg. [var]
Real number (ℝ)

High correlation  Zeros 

Distinct2360
Distinct (%)9.0%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean-318.35436
Minimum-3638
Maximum2019
Zeros19437
Zeros (%)74.2%
Negative5149
Negative (%)19.6%
Memory size1.4 MiB
2025-05-05T17:42:42.475951image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3638
5-th percentile-2055
Q10
median0
Q30
95-th percentile155
Maximum2019
Range5657
Interquartile range (IQR)0

Descriptive statistics

Standard deviation760.26135
Coefficient of variation (CV)-2.3880978
Kurtosis1.3134574
Mean-318.35436
Median Absolute Deviation (MAD)0
Skewness-1.6489619
Sum-8333562
Variance577997.32
MonotonicityNot monotonic
2025-05-05T17:42:42.548757image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19437
74.2%
250 151
 
0.6%
1 49
 
0.2%
-1 27
 
0.1%
251 22
 
0.1%
-1933 21
 
0.1%
-1890 21
 
0.1%
-1868 20
 
0.1%
-1886 20
 
0.1%
-1921 19
 
0.1%
Other values (2350) 6390
 
24.4%
(Missing) 31
 
0.1%
ValueCountFrequency (%)
-3638 1
< 0.1%
-3637 1
< 0.1%
-3563 1
< 0.1%
-3550 1
< 0.1%
-3283 1
< 0.1%
-3256 1
< 0.1%
-3219 1
< 0.1%
-3145 1
< 0.1%
-3129 1
< 0.1%
-3114 1
< 0.1%
ValueCountFrequency (%)
2019 1
< 0.1%
2003 1
< 0.1%
1976 1
< 0.1%
1847 1
< 0.1%
1806 2
< 0.1%
1781 1
< 0.1%
1773 1
< 0.1%
1689 1
< 0.1%
1624 1
< 0.1%
1573 1
< 0.1%

Production LatestAverage Reactive Power Gen 1 Avg. [var]
Real number (ℝ)

High correlation  Zeros 

Distinct207
Distinct (%)0.8%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean2.258433
Minimum-167
Maximum342
Zeros22453
Zeros (%)85.7%
Negative124
Negative (%)0.5%
Memory size1.4 MiB
2025-05-05T17:42:42.624680image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-167
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum342
Range509
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15.920847
Coefficient of variation (CV)7.0495104
Kurtosis74.53965
Mean2.258433
Median Absolute Deviation (MAD)0
Skewness8.0775987
Sum59119
Variance253.47336
MonotonicityNot monotonic
2025-05-05T17:42:42.701695image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 22453
85.7%
1 2351
 
9.0%
2 486
 
1.9%
3 145
 
0.6%
-1 75
 
0.3%
4 21
 
0.1%
115 14
 
0.1%
103 14
 
0.1%
96 13
 
< 0.1%
95 13
 
< 0.1%
Other values (197) 592
 
2.3%
(Missing) 31
 
0.1%
ValueCountFrequency (%)
-167 1
< 0.1%
-65 1
< 0.1%
-59 1
< 0.1%
-55 1
< 0.1%
-52 1
< 0.1%
-48 2
< 0.1%
-37 1
< 0.1%
-35 2
< 0.1%
-32 1
< 0.1%
-30 2
< 0.1%
ValueCountFrequency (%)
342 1
< 0.1%
224 1
< 0.1%
223 1
< 0.1%
218 1
< 0.1%
217 1
< 0.1%
206 1
< 0.1%
204 1
< 0.1%
203 1
< 0.1%
201 1
< 0.1%
200 2
< 0.1%

Production LatestAverage Reactive Power Gen 2 Avg. [var]
Real number (ℝ)

High correlation  Zeros 

Distinct662
Distinct (%)2.5%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean19.028498
Minimum-672
Maximum1105
Zeros23633
Zeros (%)90.2%
Negative119
Negative (%)0.5%
Memory size1.4 MiB
2025-05-05T17:42:42.777200image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-672
5-th percentile0
Q10
median0
Q30
95-th percentile135
Maximum1105
Range1777
Interquartile range (IQR)0

Descriptive statistics

Standard deviation80.696037
Coefficient of variation (CV)4.240799
Kurtosis29.872637
Mean19.028498
Median Absolute Deviation (MAD)0
Skewness5.0898184
Sum498109
Variance6511.8503
MonotonicityNot monotonic
2025-05-05T17:42:42.855989image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23633
90.2%
1 176
 
0.7%
98 18
 
0.1%
91 18
 
0.1%
-1 18
 
0.1%
88 18
 
0.1%
110 17
 
0.1%
96 15
 
0.1%
73 15
 
0.1%
93 15
 
0.1%
Other values (652) 2234
 
8.5%
(Missing) 31
 
0.1%
ValueCountFrequency (%)
-672 1
< 0.1%
-427 1
< 0.1%
-387 1
< 0.1%
-319 1
< 0.1%
-304 1
< 0.1%
-263 1
< 0.1%
-218 1
< 0.1%
-213 1
< 0.1%
-153 1
< 0.1%
-134 1
< 0.1%
ValueCountFrequency (%)
1105 1
< 0.1%
1016 1
< 0.1%
837 1
< 0.1%
811 1
< 0.1%
810 1
< 0.1%
791 1
< 0.1%
787 1
< 0.1%
783 1
< 0.1%
771 1
< 0.1%
768 1
< 0.1%

Production LatestAverage Total Reactive Power Avg. [var]
Real number (ℝ)

High correlation  Zeros 

Distinct2507
Distinct (%)9.6%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean-297.06743
Minimum-3638
Maximum2467
Zeros15446
Zeros (%)58.9%
Negative5079
Negative (%)19.4%
Memory size1.4 MiB
2025-05-05T17:42:42.933681image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3638
5-th percentile-2053
Q10
median0
Q30
95-th percentile250
Maximum2467
Range6105
Interquartile range (IQR)0

Descriptive statistics

Standard deviation768.59601
Coefficient of variation (CV)-2.587278
Kurtosis1.4014387
Mean-297.06743
Median Absolute Deviation (MAD)0
Skewness-1.5889936
Sum-7776334
Variance590739.83
MonotonicityNot monotonic
2025-05-05T17:42:43.010534image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15446
58.9%
1 2467
 
9.4%
2 492
 
1.9%
250 151
 
0.6%
3 139
 
0.5%
-1 99
 
0.4%
103 23
 
0.1%
105 22
 
0.1%
-1933 21
 
0.1%
-1890 20
 
0.1%
Other values (2497) 7297
27.8%
(Missing) 31
 
0.1%
ValueCountFrequency (%)
-3638 1
< 0.1%
-3637 1
< 0.1%
-3563 1
< 0.1%
-3550 1
< 0.1%
-3283 1
< 0.1%
-3256 1
< 0.1%
-3219 1
< 0.1%
-3145 1
< 0.1%
-3129 1
< 0.1%
-3114 1
< 0.1%
ValueCountFrequency (%)
2467 1
< 0.1%
2437 1
< 0.1%
2222 1
< 0.1%
2148 1
< 0.1%
2140 1
< 0.1%
2100 1
< 0.1%
2041 1
< 0.1%
1992 1
< 0.1%
1972 1
< 0.1%
1940 1
< 0.1%

Active power generator 0, Total accumulated [W]
Real number (ℝ)

High correlation 

Distinct5731
Distinct (%)21.9%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean-373703.14
Minimum-379576
Maximum-368403
Zeros0
Zeros (%)0.0%
Negative26177
Negative (%)99.9%
Memory size1.4 MiB
2025-05-05T17:42:43.086904image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-379576
5-th percentile-378911
Q1-376896
median-373492
Q3-371113
95-th percentile-368508.6
Maximum-368403
Range11173
Interquartile range (IQR)5783

Descriptive statistics

Standard deviation3324.4769
Coefficient of variation (CV)-0.0088960367
Kurtosis-1.2026981
Mean-373703.14
Median Absolute Deviation (MAD)2679
Skewness-0.17980552
Sum-9.7824272 × 109
Variance11052147
MonotonicityDecreasing
2025-05-05T17:42:43.168940image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-370195 598
 
2.3%
-368410 435
 
1.7%
-374981 412
 
1.6%
-378703 408
 
1.6%
-375448 377
 
1.4%
-371599 334
 
1.3%
-370899 329
 
1.3%
-373559 329
 
1.3%
-371455 302
 
1.2%
-371449 298
 
1.1%
Other values (5721) 22355
85.3%
ValueCountFrequency (%)
-379576 37
0.1%
-379575 1
 
< 0.1%
-379573 1
 
< 0.1%
-379571 1
 
< 0.1%
-379568 1
 
< 0.1%
-379566 1
 
< 0.1%
-379564 1
 
< 0.1%
-379563 1
 
< 0.1%
-379560 1
 
< 0.1%
-379558 1
 
< 0.1%
ValueCountFrequency (%)
-368403 30
 
0.1%
-368404 61
 
0.2%
-368405 293
1.1%
-368406 1
 
< 0.1%
-368408 1
 
< 0.1%
-368410 435
1.7%
-368411 130
 
0.5%
-368413 1
 
< 0.1%
-368414 1
 
< 0.1%
-368415 3
 
< 0.1%

Active power generator 1, Total accumulated [W]
Real number (ℝ)

High correlation 

Distinct10073
Distinct (%)38.5%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean68087668
Minimum66574792
Maximum69347792
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:43.396145image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum66574792
5-th percentile66751448
Q167259424
median68162720
Q368842096
95-th percentile69304640
Maximum69347792
Range2773000
Interquartile range (IQR)1582672

Descriptive statistics

Standard deviation852893
Coefficient of variation (CV)0.012526395
Kurtosis-1.2952777
Mean68087668
Median Absolute Deviation (MAD)749288
Skewness-0.254051
Sum1.7823309 × 1012
Variance7.2742647 × 1011
MonotonicityIncreasing
2025-05-05T17:42:43.475844image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
68468776 715
 
2.7%
66811892 563
 
2.1%
68622208 562
 
2.1%
67070024 523
 
2.0%
66751448 492
 
1.9%
69328328 475
 
1.8%
68033032 382
 
1.5%
68753960 377
 
1.4%
68517856 359
 
1.4%
69095152 356
 
1.4%
Other values (10063) 21373
81.6%
ValueCountFrequency (%)
66574792 72
0.3%
66574868 1
 
< 0.1%
66574972 1
 
< 0.1%
66575064 1
 
< 0.1%
66575140 1
 
< 0.1%
66575224 1
 
< 0.1%
66575296 1
 
< 0.1%
66575408 1
 
< 0.1%
66575548 1
 
< 0.1%
66575668 1
 
< 0.1%
ValueCountFrequency (%)
69347792 92
0.4%
69347768 1
 
< 0.1%
69347696 1
 
< 0.1%
69347632 1
 
< 0.1%
69347552 1
 
< 0.1%
69347472 1
 
< 0.1%
69347392 1
 
< 0.1%
69347304 1
 
< 0.1%
69347200 1
 
< 0.1%
69347080 1
 
< 0.1%

Active power generator 2, Total accumulated [W]
Real number (ℝ)

High correlation 

Distinct11979
Distinct (%)45.8%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean7886615.5
Minimum7663038
Maximum8108249
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:43.555733image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum7663038
5-th percentile7692726
Q17783238
median7893106
Q37985802
95-th percentile8079486
Maximum8108249
Range445211
Interquartile range (IQR)202564

Descriptive statistics

Standard deviation123636.1
Coefficient of variation (CV)0.015676699
Kurtosis-1.1508823
Mean7886615.5
Median Absolute Deviation (MAD)103550
Skewness-0.021589199
Sum2.0644793 × 1011
Variance1.5285884 × 1010
MonotonicityNot monotonic
2025-05-05T17:42:43.636513image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7906179 402
 
1.5%
7737383 339
 
1.3%
7874976 283
 
1.1%
7811239 269
 
1.0%
8040144 243
 
0.9%
7756672 228
 
0.9%
8079486 221
 
0.8%
7817397 214
 
0.8%
7812632 187
 
0.7%
7932583 185
 
0.7%
Other values (11969) 23606
90.1%
ValueCountFrequency (%)
7663038 1
< 0.1%
7663049 1
< 0.1%
7663064 1
< 0.1%
7663074 1
< 0.1%
7663093 1
< 0.1%
7663100 1
< 0.1%
7663115 1
< 0.1%
7663134 1
< 0.1%
7663160 1
< 0.1%
7663183 1
< 0.1%
ValueCountFrequency (%)
8108249 1
< 0.1%
8108222 1
< 0.1%
8108189 1
< 0.1%
8108154 1
< 0.1%
8108112 1
< 0.1%
8108059 1
< 0.1%
8108001 1
< 0.1%
8107939 1
< 0.1%
8107874 1
< 0.1%
8107806 1
< 0.1%

Total Active power [W]
Real number (ℝ)

High correlation 

Distinct20338
Distinct (%)77.7%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean75600580
Minimum73869424
Maximum77076464
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:43.715859image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum73869424
5-th percentile74075696
Q174671552
median75682328
Q376450992
95-th percentile77005216
Maximum77076464
Range3207040
Interquartile range (IQR)1779440

Descriptive statistics

Standard deviation972371.61
Coefficient of variation (CV)0.01286196
Kurtosis-1.2813079
Mean75600580
Median Absolute Deviation (MAD)858144
Skewness-0.22823671
Sum1.9789964 × 1012
Variance9.4550655 × 1011
MonotonicityNot monotonic
2025-05-05T17:42:43.798039image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
76010072 46
 
0.2%
76343296 31
 
0.1%
75902664 27
 
0.1%
76355504 25
 
0.1%
76342248 24
 
0.1%
76195488 20
 
0.1%
76023584 18
 
0.1%
76070672 17
 
0.1%
74812064 17
 
0.1%
74724864 17
 
0.1%
Other values (20328) 25935
99.0%
(Missing) 31
 
0.1%
ValueCountFrequency (%)
73869424 1
< 0.1%
73869440 1
< 0.1%
73869456 1
< 0.1%
73869464 1
< 0.1%
73869480 1
< 0.1%
73869488 1
< 0.1%
73869504 1
< 0.1%
73869520 1
< 0.1%
73869552 1
< 0.1%
73869568 1
< 0.1%
ValueCountFrequency (%)
77076464 1
< 0.1%
77076432 1
< 0.1%
77076400 1
< 0.1%
77076368 1
< 0.1%
77076320 1
< 0.1%
77076272 1
< 0.1%
77076208 1
< 0.1%
77076152 1
< 0.1%
77076088 1
< 0.1%
77076016 1
< 0.1%

Reactive power generator 0,Total accumulated [var]
Real number (ℝ)

High correlation 

Distinct4606
Distinct (%)17.6%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean-297736.36
Minimum-302128
Maximum-293778
Zeros0
Zeros (%)0.0%
Negative26177
Negative (%)99.9%
Memory size1.4 MiB
2025-05-05T17:42:43.880239image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-302128
5-th percentile-301608
Q1-300152
median-297553
Q3-295835
95-th percentile-293848.6
Maximum-293778
Range8350
Interquartile range (IQR)4317

Descriptive statistics

Standard deviation2474.9302
Coefficient of variation (CV)-0.0083124889
Kurtosis-1.1963397
Mean-297736.36
Median Absolute Deviation (MAD)1979
Skewness-0.1825155
Sum-7.7938446 × 109
Variance6125279.3
MonotonicityNot monotonic
2025-05-05T17:42:43.961425image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-295150 804
 
3.1%
-293780 499
 
1.9%
-298725 412
 
1.6%
-301466 409
 
1.6%
-293779 388
 
1.5%
-299038 378
 
1.4%
-297583 369
 
1.4%
-296156 336
 
1.3%
-297575 335
 
1.3%
-295670 330
 
1.3%
Other values (4596) 21917
83.6%
ValueCountFrequency (%)
-302128 38
0.1%
-302125 1
 
< 0.1%
-302123 1
 
< 0.1%
-302121 1
 
< 0.1%
-302119 2
 
< 0.1%
-302118 1
 
< 0.1%
-302115 1
 
< 0.1%
-302113 1
 
< 0.1%
-302110 1
 
< 0.1%
-302108 1
 
< 0.1%
ValueCountFrequency (%)
-293778 46
 
0.2%
-293779 388
1.5%
-293780 499
1.9%
-293781 1
 
< 0.1%
-293782 30
 
0.1%
-293783 1
 
< 0.1%
-293785 1
 
< 0.1%
-293787 1
 
< 0.1%
-293789 1
 
< 0.1%
-293791 1
 
< 0.1%

Reactive power generator 1, Total accumulated [var]
Real number (ℝ)

High correlation 

Distinct59
Distinct (%)0.2%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean3109.7845
Minimum3081
Maximum3139
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:44.040013image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum3081
5-th percentile3085
Q13096
median3111
Q33123
95-th percentile3137
Maximum3139
Range58
Interquartile range (IQR)27

Descriptive statistics

Standard deviation16.570503
Coefficient of variation (CV)0.0053285053
Kurtosis-1.1331887
Mean3109.7845
Median Absolute Deviation (MAD)14
Skewness-0.013092415
Sum81404829
Variance274.58158
MonotonicityIncreasing
2025-05-05T17:42:44.121225image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3087 1431
 
5.5%
3107 1243
 
4.7%
3089 1052
 
4.0%
3122 987
 
3.8%
3115 891
 
3.4%
3085 871
 
3.3%
3118 818
 
3.1%
3114 801
 
3.1%
3100 712
 
2.7%
3106 704
 
2.7%
Other values (49) 16667
63.6%
ValueCountFrequency (%)
3081 275
 
1.0%
3082 276
 
1.1%
3083 174
 
0.7%
3084 91
 
0.3%
3085 871
3.3%
3086 627
2.4%
3087 1431
5.5%
3088 258
 
1.0%
3089 1052
4.0%
3090 75
 
0.3%
ValueCountFrequency (%)
3139 561
2.1%
3138 595
2.3%
3137 408
1.6%
3136 175
 
0.7%
3135 275
1.0%
3134 345
1.3%
3133 131
 
0.5%
3132 523
2.0%
3131 489
1.9%
3130 119
 
0.5%

Reactive power generator 2, Total accumulated [var]
Real number (ℝ)

High correlation 

Distinct499
Distinct (%)1.9%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean90226.209
Minimum90000
Maximum90498
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:44.202517image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum90000
5-th percentile90009
Q190108
median90226
Q390347
95-th percentile90469
Maximum90498
Range498
Interquartile range (IQR)239

Descriptive statistics

Standard deviation146.58982
Coefficient of variation (CV)0.0016246923
Kurtosis-1.1301136
Mean90226.209
Median Absolute Deviation (MAD)119
Skewness0.23414001
Sum2.3618515 × 109
Variance21488.577
MonotonicityIncreasing
2025-05-05T17:42:44.285243image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90062 636
 
2.4%
90233 559
 
2.1%
90129 545
 
2.1%
90428 358
 
1.4%
90265 355
 
1.4%
90298 348
 
1.3%
90197 343
 
1.3%
90141 341
 
1.3%
90469 313
 
1.2%
90004 301
 
1.1%
Other values (489) 22078
84.2%
ValueCountFrequency (%)
90000 31
 
0.1%
90001 201
0.8%
90002 104
 
0.4%
90003 50
 
0.2%
90004 301
1.1%
90005 112
 
0.4%
90006 71
 
0.3%
90007 103
 
0.4%
90008 210
0.8%
90009 146
0.6%
ValueCountFrequency (%)
90498 37
 
0.1%
90497 13
 
< 0.1%
90496 42
 
0.2%
90495 146
0.6%
90494 108
0.4%
90493 45
 
0.2%
90492 100
0.4%
90491 3
 
< 0.1%
90490 5
 
< 0.1%
90489 102
0.4%

Total reactive power [var]
Real number (ℝ)

High correlation 

Distinct4450
Distinct (%)17.0%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean-204399.65
Minimum-208491
Maximum-200685
Zeros0
Zeros (%)0.0%
Negative26177
Negative (%)99.9%
Memory size1.4 MiB
2025-05-05T17:42:44.364797image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-208491
5-th percentile-208001
Q1-206680
median-204214
Q3-202631
95-th percentile-200752.8
Maximum-200685
Range7806
Interquartile range (IQR)4049

Descriptive statistics

Standard deviation2312.3165
Coefficient of variation (CV)-0.011312722
Kurtosis-1.2001861
Mean-204399.65
Median Absolute Deviation (MAD)1849
Skewness-0.18045934
Sum-5.3505696 × 109
Variance5346807.4
MonotonicityNot monotonic
2025-05-05T17:42:44.446725image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-202831 612
 
2.3%
-202000 557
 
2.1%
-202001 357
 
1.4%
-202917 328
 
1.3%
-204238 300
 
1.1%
-201816 260
 
1.0%
-202481 250
 
1.0%
-205342 244
 
0.9%
-200700 240
 
0.9%
-202991 226
 
0.9%
Other values (4440) 22803
87.0%
ValueCountFrequency (%)
-208491 37
0.1%
-208490 1
 
< 0.1%
-208488 1
 
< 0.1%
-208486 1
 
< 0.1%
-208483 1
 
< 0.1%
-208482 1
 
< 0.1%
-208481 2
 
< 0.1%
-208478 1
 
< 0.1%
-208476 1
 
< 0.1%
-208473 1
 
< 0.1%
ValueCountFrequency (%)
-200685 2
 
< 0.1%
-200686 90
 
0.3%
-200687 47
 
0.2%
-200688 4
 
< 0.1%
-200689 35
 
0.1%
-200690 60
 
0.2%
-200691 21
 
0.1%
-200692 157
0.6%
-200693 225
0.9%
-200694 64
 
0.2%

System Logs First Active Alarm No
Real number (ℝ)

High correlation  Zeros 

Distinct16
Distinct (%)0.1%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean11.936318
Minimum0
Maximum808
Zeros25363
Zeros (%)96.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:44.510445image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum808
Range808
Interquartile range (IQR)0

Descriptive statistics

Standard deviation81.646628
Coefficient of variation (CV)6.8401853
Kurtosis72.312425
Mean11.936318
Median Absolute Deviation (MAD)0
Skewness8.2705078
Sum312457
Variance6666.1718
MonotonicityNot monotonic
2025-05-05T17:42:44.567696image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 25363
96.8%
144 240
 
0.9%
808 188
 
0.7%
220 184
 
0.7%
485 82
 
0.3%
224 30
 
0.1%
675 25
 
0.1%
222 21
 
0.1%
276 15
 
0.1%
356 12
 
< 0.1%
Other values (6) 17
 
0.1%
(Missing) 31
 
0.1%
ValueCountFrequency (%)
0 25363
96.8%
127 1
 
< 0.1%
144 240
 
0.9%
154 2
 
< 0.1%
181 1
 
< 0.1%
220 184
 
0.7%
222 21
 
0.1%
224 30
 
0.1%
276 15
 
0.1%
324 1
 
< 0.1%
ValueCountFrequency (%)
808 188
0.7%
687 10
 
< 0.1%
675 25
 
0.1%
632 2
 
< 0.1%
485 82
0.3%
356 12
 
< 0.1%
324 1
 
< 0.1%
276 15
 
0.1%
224 30
 
0.1%
222 21
 
0.1%

First Alarm parameter 1 in 10 min frame
Real number (ℝ)

High correlation  Zeros 

Distinct17
Distinct (%)0.1%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean2.4414944
Minimum0
Maximum313
Zeros25720
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:42:44.623494image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum313
Range313
Interquartile range (IQR)0

Descriptive statistics

Standard deviation24.372832
Coefficient of variation (CV)9.9827514
Kurtosis99.934708
Mean2.4414944
Median Absolute Deviation (MAD)0
Skewness10.07345
Sum63911
Variance594.03494
MonotonicityNot monotonic
2025-05-05T17:42:44.827576image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 25720
98.1%
251 195
 
0.7%
3 103
 
0.4%
2 86
 
0.3%
253 45
 
0.2%
61 10
 
< 0.1%
81 4
 
< 0.1%
168 2
 
< 0.1%
313 2
 
< 0.1%
10 2
 
< 0.1%
Other values (7) 8
 
< 0.1%
(Missing) 31
 
0.1%
ValueCountFrequency (%)
0 25720
98.1%
1 1
 
< 0.1%
2 86
 
0.3%
3 103
 
0.4%
10 2
 
< 0.1%
61 10
 
< 0.1%
64 1
 
< 0.1%
81 4
 
< 0.1%
101 1
 
< 0.1%
168 2
 
< 0.1%
ValueCountFrequency (%)
313 2
 
< 0.1%
253 45
 
0.2%
251 195
0.7%
226 1
 
< 0.1%
213 1
 
< 0.1%
197 2
 
< 0.1%
185 1
 
< 0.1%
168 2
 
< 0.1%
101 1
 
< 0.1%
81 4
 
< 0.1%

First Alarm parameter 2 in 10 min frame
Real number (ℝ)

High correlation  Skewed  Zeros 

Distinct12
Distinct (%)< 0.1%
Missing31
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean-0.028651106
Minimum-1015
Maximum483
Zeros26161
Zeros (%)99.8%
Negative4
Negative (%)< 0.1%
Memory size1.4 MiB
2025-05-05T17:42:44.879314image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1015
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum483
Range1498
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.605525
Coefficient of variation (CV)-405.06377
Kurtosis4524.289
Mean-0.028651106
Median Absolute Deviation (MAD)0
Skewness-51.085957
Sum-750
Variance134.68821
MonotonicityNot monotonic
2025-05-05T17:42:44.932410image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 26161
99.8%
-758 3
 
< 0.1%
219 2
 
< 0.1%
267 2
 
< 0.1%
11 2
 
< 0.1%
269 1
 
< 0.1%
215 1
 
< 0.1%
-1015 1
 
< 0.1%
203 1
 
< 0.1%
374 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
(Missing) 31
 
0.1%
ValueCountFrequency (%)
-1015 1
 
< 0.1%
-758 3
 
< 0.1%
0 26161
99.8%
1 1
 
< 0.1%
11 2
 
< 0.1%
203 1
 
< 0.1%
215 1
 
< 0.1%
219 2
 
< 0.1%
267 2
 
< 0.1%
269 1
 
< 0.1%
ValueCountFrequency (%)
483 1
 
< 0.1%
374 1
 
< 0.1%
269 1
 
< 0.1%
267 2
 
< 0.1%
219 2
 
< 0.1%
215 1
 
< 0.1%
203 1
 
< 0.1%
11 2
 
< 0.1%
1 1
 
< 0.1%
0 26161
99.8%

missing_data
Boolean

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.2 MiB
False
26177 
True
 
31
ValueCountFrequency (%)
False 26177
99.9%
True 31
 
0.1%
2025-05-05T17:42:44.974580image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2025-05-05T17:42:45.121711image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Active power generator 0, Total accumulated [W]Active power generator 1, Total accumulated [W]Active power generator 2, Total accumulated [W]Active power limit [W]Active power limit sourceAmbient Temp. Avg. [°C]Ambient WindDir Absolute Avg. [°]Ambient WindDir Relative Avg. [°]Ambient WindSpeed Avg. [m/s]Ambient WindSpeed Max. [m/s]Ambient WindSpeed Min. [m/s]Ambient WindSpeed StdDev [m/s]Ambient ok hours [h]Avg. direction [°]Blades PitchAngle Avg. [°]Blades PitchAngle Max. [°]Blades PitchAngle Min. [°]Blades PitchAngle StdDev [°]Controller Ground Temp. Avg. [°C]Controller Hub Temp. Avg. [°C]Controller Top Temp. Avg. [°C]Controller VCP ChokecoilTemp. Avg. [°C]Controller VCP Temp. Avg. [°C]Controller VCP WaterTemp. Avg. [°C]First Alarm parameter 1 in 10 min frameFirst Alarm parameter 2 in 10 min frameGear Bearing TemperatureHSGeneratorEnd Avg. [°C]Gear Bearing TemperatureHSMiddle Avg. [°C]Gear Bearing TemperatureHSRotorEnd Avg. [°C]Gear Bearing TemperatureHollowShaftGenerator Avg. [°C]Gear Bearing TemperatureHollowShaftRotor Avg. [°C]Gear Oil TemperatureBasis Avg. [°C]Gear Oil TemperatureLevel1 Avg. [°C]Generator 1 hours [h]Generator 2 hours [h]Generator Bearing Temp. Avg. [°C]Generator Bearing2 Temp. Avg. [°C]Generator CoolingWater Temp. Avg. [°C]Generator Phase1 Temp. Avg. [°C]Generator Phase2 Temp. Avg. [°C]Generator Phase3 Temp. Avg. [°C]Generator RPM Avg. [RPM]Generator RPM Max. [RPM]Generator RPM Min. [RPM]Generator RPM StdDev [RPM]Generator SlipRing Temp. Avg. [°C]Grid Busbar Temp. Avg. [°C]Grid InverterPhase1 Temp. Avg. [°C]Grid Production CosPhi Avg.Grid Production CurrentPhase1 Avg. [A]Grid Production CurrentPhase2 Avg. [A]Grid Production CurrentPhase3 Avg. [A]Grid Production Frequency Avg. [Hz]Grid Production PossiblePower Avg. [W]Grid Production PossiblePower Max. [W]Grid Production PossiblePower Min. [W]Grid Production PossiblePower StdDev [W]Grid Production Power Avg. [W]Grid Production Power Max. [W]Grid Production Power Min. [W]Grid Production Power StdDev [W]Grid Production ReactivePower Avg. [W]Grid Production ReactivePower Max. [W]Grid Production ReactivePower Min. [W]Grid Production ReactivePower StdDev [W]Grid Production VoltagePhase1 Avg. [V]Grid Production VoltagePhase2 Avg. [V]Grid Production VoltagePhase3 Avg. [V]Grid RotorInvPhase1 Temp. Avg. [°C]Grid RotorInvPhase2 Temp. Avg. [°C]Grid RotorInvPhase3 Temp. Avg. [°C]Grid ok hours [h]Grid on hours [h]HVTrafo AirOutlet Temp. Avg. [°C]HVTrafo Phase1 Temp. Avg. [°C]HVTrafo Phase2 Temp. Avg. [°C]HVTrafo Phase3 Temp. Avg. [°C]HourCounters Average AlarmActive Avg. [h]HourCounters Average AmbientOk Avg. [h]HourCounters Average Gen1 Avg. [h]HourCounters Average Gen2 Avg. [h]HourCounters Average GridOk Avg. [h]HourCounters Average GridOn Avg. [h]HourCounters Average Run Avg. [h]HourCounters Average ServiceOn Avg. [h]HourCounters Average TurbineOk Avg. [h]HourCounters Average WindOk Avg. [h]HourCounters Average Yaw Avg. [h]Hydraulic Oil Temp. Avg. [°C]Nacelle Temp. Avg. [°C]Power factor set pointPower factor set point sourceProduction LatestAverage Active Power Gen 0 Avg. [W]Production LatestAverage Active Power Gen 1 Avg. [W]Production LatestAverage Active Power Gen 2 Avg. [W]Production LatestAverage Reactive Power Gen 0 Avg. [var]Production LatestAverage Reactive Power Gen 1 Avg. [var]Production LatestAverage Reactive Power Gen 2 Avg. [var]Production LatestAverage Total Active Power Avg. [W]Production LatestAverage Total Reactive Power Avg. [var]Reactive power generator 0,Total accumulated [var]Reactive power generator 1, Total accumulated [var]Reactive power generator 2, Total accumulated [var]Rotor RPM Avg. [RPM]Rotor RPM Max. [RPM]Rotor RPM Min. [RPM]Rotor RPM StdDev [RPM]Run hours [h]Service hours [h]Spinner Temp. Avg. [°C]System Logs First Active Alarm NoTotal Active power [W]Total hour counter [h]Total reactive power [var]Turbine ok hours [h]Wind ok hours [h]Yaw hours [h]missing_data
Active power generator 0, Total accumulated [W]1.000-1.000-1.0000.0070.017-0.811-0.165-0.0070.0610.0540.0750.026-1.000-0.148-0.000-0.005-0.0090.036-0.764-0.778-0.752-0.086-0.461-0.171-0.0360.0000.0270.0470.0520.0510.0680.042-0.105-1.000-1.000-0.182-0.082-0.2340.0350.0380.0370.0760.0710.078-0.033-0.669-0.613-0.0640.0690.0800.0800.0810.0210.0810.0770.1100.0450.1000.0960.1220.0430.0100.0350.001-0.0140.0850.1800.152-0.054-0.060-0.058-1.000-1.000-0.748-0.303-0.332-0.329-0.0400.0350.063-0.0240.0330.0160.041-0.0320.0390.0480.0050.179-0.7270.0170.0170.0690.085-0.0170.0160.041-0.0380.1000.0241.000-1.000-1.0000.0750.0700.078-0.040-1.000-0.995-0.776-0.040-1.000-1.0001.000-1.000-1.000-1.0001.000
Active power generator 1, Total accumulated [W]-1.0001.0001.000-0.0070.0130.8100.1660.007-0.060-0.054-0.075-0.0261.0000.1480.0000.0050.009-0.0360.7630.7770.7520.0880.4620.1710.036-0.000-0.026-0.047-0.052-0.051-0.068-0.0420.1061.0001.0000.1830.0820.235-0.034-0.037-0.036-0.076-0.071-0.0780.0330.6700.6130.064-0.069-0.080-0.080-0.0810.019-0.081-0.077-0.110-0.045-0.100-0.096-0.122-0.043-0.010-0.035-0.0010.014-0.086-0.181-0.1520.0540.0600.0581.0001.0000.7490.3050.3330.3310.041-0.035-0.0620.023-0.034-0.016-0.0410.032-0.039-0.048-0.005-0.1790.7270.0130.013-0.069-0.0850.016-0.015-0.0410.038-0.100-0.023-1.0001.0001.000-0.075-0.070-0.0780.0401.0000.9950.7760.0411.0001.000-0.9991.0001.0001.0001.000
Active power generator 2, Total accumulated [W]-1.0001.0001.000-0.0070.0180.8110.1650.007-0.061-0.054-0.075-0.0261.0000.1470.0000.0050.009-0.0360.7640.7780.7520.0870.4620.1710.036-0.000-0.027-0.047-0.052-0.051-0.068-0.0420.1051.0001.0000.1820.0820.235-0.034-0.038-0.036-0.076-0.071-0.0780.0320.6700.6130.064-0.069-0.080-0.080-0.0810.024-0.081-0.077-0.110-0.045-0.100-0.096-0.122-0.043-0.010-0.035-0.0010.014-0.086-0.181-0.1520.0540.0600.0581.0001.0000.7480.3040.3330.3300.040-0.035-0.0620.023-0.033-0.016-0.0410.032-0.039-0.048-0.006-0.1790.7270.0180.018-0.069-0.0850.016-0.016-0.0410.038-0.100-0.024-1.0001.0001.000-0.075-0.070-0.0780.0401.0000.9950.7760.0401.0001.000-1.0001.0001.0001.0001.000
Active power limit [W]0.007-0.007-0.0071.0000.4780.0180.056-0.014-0.038-0.043-0.016-0.059-0.0070.066-0.106-0.094-0.1050.0240.0230.0330.0350.0940.0410.057-0.2450.0010.0980.0970.0970.1000.1000.0980.108-0.007-0.0070.0750.0790.0700.0860.0880.0870.0900.0770.0920.0180.0610.0500.0640.0860.0890.0910.0870.097-0.040-0.028-0.0280.0490.0810.0780.0680.0740.0480.0190.051-0.059-0.023-0.032-0.0250.0640.0690.074-0.007-0.0070.0230.0700.0700.070-0.3360.4600.0460.0530.3260.4960.359-0.2470.2130.0750.0240.0200.0500.4780.4780.1110.0440.0470.0470.0190.0020.0820.0430.007-0.007-0.0070.0910.0770.0930.015-0.007-0.0060.023-0.333-0.007-0.0070.007-0.007-0.007-0.0071.000
Active power limit source0.0170.0130.0180.4781.0000.0330.0050.0050.0000.0000.1770.0000.0200.0760.1210.1770.1770.0830.3540.3540.3540.3550.3540.3530.0000.0000.3540.3540.3540.3540.3540.3540.3580.0240.0170.3530.3530.3550.3530.3530.3530.0470.0440.1770.0340.3540.3550.3530.0750.0000.0000.0000.3530.0000.0140.0000.0000.0000.3540.0220.0000.0500.0000.0000.0000.1770.1770.1770.3530.3530.3530.0200.0200.3540.3530.3530.3530.0000.1930.0000.0170.3480.5950.1320.3820.1940.0290.0000.3540.3540.9370.9370.0000.0000.0000.0000.0000.0000.0000.0490.0160.0150.0380.0460.0410.1770.0350.0200.0850.3540.0130.0150.0200.0160.0200.0240.0151.000
Ambient Temp. Avg. [°C]-0.8110.8100.8110.0180.0331.0000.0440.038-0.161-0.160-0.157-0.1380.8110.0270.0620.0870.061-0.1080.9060.9240.8320.0320.5610.1880.0130.006-0.109-0.131-0.135-0.133-0.149-0.1280.0850.8100.8110.1390.0280.267-0.113-0.118-0.116-0.164-0.161-0.153-0.0260.6950.5960.036-0.163-0.163-0.163-0.1660.042-0.179-0.179-0.175-0.140-0.187-0.189-0.184-0.139-0.084-0.107-0.0320.053-0.106-0.161-0.1300.0280.0410.0380.8110.8110.6660.2670.2740.2800.057-0.029-0.117-0.006-0.069-0.030-0.0590.067-0.091-0.139-0.090-0.1310.7800.0330.033-0.168-0.138-0.020-0.093-0.0820.044-0.187-0.098-0.8110.8090.811-0.160-0.159-0.153-0.0110.8110.8150.9290.0580.8110.811-0.8120.8110.8110.8111.000
Ambient WindDir Absolute Avg. [°]-0.1650.1660.1650.0560.0050.0441.000-0.0140.0350.0350.0170.0530.1650.859-0.091-0.105-0.0930.0480.0970.0850.0710.0650.0470.022-0.054-0.0010.0470.0440.0470.0510.0510.0490.0330.1660.1650.0200.0430.0290.0320.0320.0320.0450.0380.0560.0300.0750.0940.0290.0980.0350.0370.0350.0100.0190.018-0.0050.0500.0350.0300.0200.0550.0770.0300.081-0.0880.006-0.0200.0060.0230.0230.0260.1650.1650.0960.0160.0250.022-0.0630.028-0.0040.0970.0110.0150.063-0.0080.0560.0780.076-0.0140.0880.0050.0050.107-0.0180.0860.083-0.011-0.0010.0350.055-0.1650.1650.1650.0480.0390.0570.0260.1650.1600.064-0.0630.1650.165-0.1640.1650.1650.1651.000
Ambient WindDir Relative Avg. [°]-0.0070.0070.007-0.0140.0050.038-0.0141.000-0.004-0.003-0.022-0.0020.007-0.016-0.078-0.079-0.0610.0100.0510.0340.020-0.0120.0180.0030.0410.024-0.007-0.006-0.007-0.008-0.006-0.006-0.0400.0070.007-0.0050.007-0.0130.000-0.001-0.000-0.010-0.008-0.0180.0660.021-0.0060.0010.028-0.015-0.016-0.0160.000-0.006-0.002-0.0400.048-0.016-0.010-0.0380.0360.0790.0690.042-0.0570.0170.0130.0070.0040.001-0.0050.0070.0070.027-0.024-0.023-0.0230.0480.005-0.0380.080-0.012-0.018-0.0470.010-0.0710.0390.091-0.014-0.0010.0050.0050.044-0.0560.0850.077-0.0140.013-0.0160.055-0.0070.0070.007-0.009-0.007-0.0190.0680.0070.0070.0200.0490.0070.007-0.0080.0070.0070.0071.000
Ambient WindSpeed Avg. [m/s]0.061-0.060-0.061-0.0380.000-0.1610.035-0.0041.0000.9750.9390.814-0.0610.016-0.418-0.471-0.3320.367-0.180-0.2780.1610.7910.4940.7570.1040.0100.9360.9290.9380.9270.9190.9340.587-0.060-0.0610.8110.8470.6580.9240.9230.9230.9350.9240.8690.2190.3350.5320.8470.6940.9420.9410.9430.0180.9930.9740.8790.7690.9420.9290.8400.7580.3780.3900.241-0.1720.1330.1210.2750.8730.8560.858-0.061-0.0610.2230.7110.7010.6990.024-0.0680.810-0.2980.0690.015-0.022-0.0710.0850.7890.173-0.2540.2590.0000.0000.6680.843-0.1840.4190.426-0.2090.9420.4650.061-0.058-0.0600.9300.9240.8680.181-0.061-0.053-0.2900.022-0.060-0.0610.060-0.061-0.061-0.0611.000
Ambient WindSpeed Max. [m/s]0.054-0.054-0.054-0.0430.000-0.1600.035-0.0030.9751.0000.8690.898-0.0540.018-0.375-0.480-0.2610.431-0.163-0.2630.1640.7840.4930.7480.0970.0090.9200.9140.9220.9100.9010.9180.577-0.054-0.0540.8070.8390.6540.9110.9110.9110.9170.9320.8130.2800.3290.5360.8340.6610.9280.9270.9280.0080.9780.9840.8200.8100.9250.9350.7810.7970.3800.4400.171-0.1150.1340.1300.2860.8590.8420.845-0.054-0.0540.2270.7140.7040.7030.024-0.0820.803-0.3110.0520.008-0.023-0.0530.0870.7570.257-0.2670.2720.0000.0000.6320.838-0.1910.4100.444-0.1670.9250.4760.054-0.051-0.0540.9100.9320.8130.242-0.054-0.048-0.2700.022-0.054-0.0540.053-0.054-0.054-0.0541.000
Ambient WindSpeed Min. [m/s]0.075-0.075-0.075-0.0160.177-0.1570.017-0.0220.9390.8691.0000.609-0.075-0.000-0.415-0.380-0.4080.202-0.200-0.2850.1320.7220.4400.6960.1080.0100.8660.8560.8690.8610.8530.8650.548-0.075-0.0750.7350.7710.6000.8490.8490.8490.8710.8200.8860.0650.3000.4750.7820.6620.8730.8720.8741.0000.9210.8690.9170.6080.8760.8300.8750.6020.2920.2450.315-0.2450.1190.1010.2380.8070.7900.792-0.075-0.0750.1890.6460.6370.6340.016-0.0460.748-0.2780.0950.046-0.015-0.0900.0890.7450.022-0.2170.2110.1770.1770.6410.781-0.1940.3590.353-0.2860.8760.3680.075-0.073-0.0750.8680.8220.8830.032-0.075-0.067-0.2990.014-0.075-0.0750.074-0.075-0.075-0.0751.000
Ambient WindSpeed StdDev [m/s]0.026-0.026-0.026-0.0590.000-0.1380.053-0.0020.8140.8980.6091.000-0.0260.037-0.197-0.413-0.0280.573-0.107-0.1970.1610.6880.4450.6470.0910.0070.7770.7770.7760.7650.7540.7760.515-0.026-0.0260.7100.7270.5740.7800.7800.7800.7690.8390.5890.3890.2880.4960.7190.4950.7860.7850.7850.0000.8310.8850.5940.8050.7770.8350.5590.7930.3450.515-0.0140.0440.1090.1170.2570.7310.7180.722-0.026-0.0260.2100.6480.6390.6410.035-0.1010.681-0.2970.023-0.016-0.035-0.0280.0720.5850.406-0.2740.2800.0000.0000.4660.728-0.1790.3510.442-0.0440.7780.4570.027-0.024-0.0260.7580.8360.5910.352-0.026-0.023-0.1950.033-0.026-0.0260.026-0.026-0.026-0.0261.000
Ambient ok hours [h]-1.0001.0001.000-0.0070.0200.8110.1650.007-0.061-0.054-0.075-0.0261.0000.1480.0000.0050.009-0.0360.7630.7770.7520.0870.4620.1710.036-0.000-0.027-0.047-0.052-0.051-0.068-0.0420.1051.0001.0000.1820.0820.235-0.034-0.038-0.036-0.076-0.071-0.0780.0320.6700.6130.064-0.069-0.080-0.080-0.0810.021-0.081-0.077-0.110-0.045-0.100-0.096-0.122-0.043-0.010-0.035-0.0010.014-0.085-0.180-0.1520.0540.0600.0581.0001.0000.7490.3040.3330.3300.040-0.035-0.0630.023-0.033-0.016-0.0410.032-0.039-0.048-0.006-0.1790.7270.0200.020-0.069-0.0850.016-0.016-0.0410.038-0.100-0.024-1.0001.0001.000-0.075-0.070-0.0780.0401.0000.9950.7760.0401.0001.000-1.0001.0001.0001.0001.000
Avg. direction [°]-0.1480.1480.1470.0660.0760.0270.859-0.0160.0160.018-0.0000.0370.1481.000-0.069-0.081-0.0730.0280.0770.0670.0470.0480.0200.001-0.060-0.0050.0310.0280.0300.0340.0340.0330.0230.1480.1470.0020.0250.0160.0150.0150.0150.0300.0220.0410.0100.0510.0750.0110.0800.0210.0220.0210.0160.0020.001-0.0120.0300.0220.0170.0120.0400.0430.0040.056-0.0620.013-0.0110.0130.0060.0060.0110.1480.1480.076-0.0040.0060.002-0.0750.038-0.0050.0740.0240.0450.077-0.0160.0730.0560.0530.0080.0620.0760.0760.080-0.0180.0660.047-0.010-0.0110.0220.027-0.1480.1470.1480.0320.0230.0420.0110.1480.1430.055-0.0760.1480.148-0.1460.1480.1480.1481.000
Blades PitchAngle Avg. [°]-0.0000.0000.000-0.1060.1210.062-0.091-0.078-0.418-0.375-0.415-0.1970.000-0.0691.0000.8750.9290.0950.0520.128-0.020-0.354-0.136-0.2390.2230.016-0.467-0.448-0.489-0.474-0.497-0.466-0.0570.0000.000-0.299-0.381-0.196-0.410-0.412-0.411-0.501-0.438-0.518-0.367-0.192-0.066-0.351-0.702-0.481-0.482-0.4820.000-0.411-0.380-0.322-0.530-0.480-0.446-0.427-0.549-0.426-0.108-0.5610.578-0.133-0.100-0.155-0.353-0.334-0.3460.0000.000-0.079-0.110-0.105-0.1030.295-0.229-0.279-0.300-0.153-0.045-0.2950.150-0.237-0.708-0.098-0.0550.0230.1210.121-0.718-0.144-0.387-0.4710.0540.144-0.480-0.281-0.000-0.0000.000-0.515-0.440-0.516-0.3480.000-0.0030.2020.2940.0000.0000.0010.0000.0000.0001.000
Blades PitchAngle Max. [°]-0.0050.0050.005-0.0940.1770.087-0.105-0.079-0.471-0.480-0.380-0.4130.005-0.0810.8751.0000.748-0.1900.0510.134-0.040-0.438-0.192-0.3000.2210.003-0.524-0.506-0.549-0.528-0.550-0.521-0.1310.0050.005-0.363-0.440-0.242-0.476-0.478-0.477-0.559-0.547-0.493-0.448-0.216-0.128-0.437-0.730-0.546-0.546-0.5451.000-0.472-0.487-0.279-0.697-0.541-0.552-0.383-0.719-0.490-0.263-0.4610.485-0.136-0.104-0.174-0.416-0.394-0.4070.0050.005-0.112-0.184-0.179-0.1780.285-0.218-0.308-0.306-0.140-0.031-0.2860.140-0.232-0.741-0.2830.012-0.0260.1770.177-0.731-0.206-0.414-0.503-0.0760.059-0.541-0.383-0.0050.0040.005-0.565-0.547-0.494-0.4180.0050.0020.2030.2840.0050.005-0.0040.0050.0050.0051.000
Blades PitchAngle Min. [°]-0.0090.0090.009-0.1050.1770.061-0.093-0.061-0.332-0.261-0.408-0.0280.009-0.0730.9290.7481.0000.2440.0620.1220.006-0.291-0.087-0.1720.2230.019-0.378-0.357-0.396-0.389-0.407-0.376-0.0320.0090.009-0.210-0.286-0.129-0.323-0.324-0.323-0.410-0.306-0.503-0.154-0.159-0.019-0.286-0.695-0.388-0.389-0.3911.000-0.319-0.259-0.332-0.354-0.392-0.327-0.458-0.372-0.3260.071-0.6600.714-0.105-0.064-0.101-0.273-0.255-0.2670.0090.009-0.037-0.037-0.034-0.0320.296-0.230-0.170-0.374-0.155-0.043-0.2960.153-0.237-0.6450.015-0.0730.0530.1770.177-0.711-0.048-0.400-0.4330.1440.270-0.392-0.176-0.0090.0090.009-0.421-0.309-0.501-0.1390.0090.0070.1970.2960.0090.009-0.0080.0090.0090.0091.000
Blades PitchAngle StdDev [°]0.036-0.036-0.0360.0240.083-0.1080.0480.0100.3670.4310.2020.573-0.0360.0280.095-0.1900.2441.000-0.062-0.0980.0790.4460.2690.347-0.1050.0260.4140.4290.3980.4170.4030.4040.363-0.036-0.0360.3820.3840.3040.4240.4240.4240.4140.5180.2740.2730.1980.2880.4120.2280.4330.4320.4310.0000.3720.4630.0790.4580.4140.4970.1310.4820.4900.720-0.0910.1830.0260.0100.0850.3770.3710.378-0.036-0.0360.0990.3580.3560.358-0.1180.0600.2760.1050.022-0.0190.119-0.0260.1100.2430.479-0.1840.1860.0830.0830.3020.3780.0880.4150.3620.3840.4140.5550.037-0.035-0.0360.4020.5130.2780.231-0.036-0.037-0.111-0.116-0.036-0.0360.037-0.036-0.036-0.0361.000
Controller Ground Temp. Avg. [°C]-0.7640.7630.7640.0230.3540.9060.0970.051-0.180-0.163-0.200-0.1070.7630.0770.0520.0510.062-0.0621.0000.9300.753-0.0140.4780.137-0.0110.005-0.132-0.152-0.155-0.153-0.168-0.1510.0520.7630.7640.083-0.0110.213-0.146-0.151-0.149-0.176-0.162-0.1810.0190.6020.5180.005-0.148-0.175-0.176-0.1780.577-0.196-0.186-0.219-0.117-0.200-0.192-0.220-0.113-0.060-0.080-0.0350.041-0.109-0.146-0.126-0.0080.0050.0020.7630.7630.5930.1950.1990.2080.027-0.011-0.1530.052-0.053-0.022-0.0270.051-0.059-0.141-0.020-0.1110.7070.3540.354-0.153-0.1750.035-0.072-0.0850.068-0.200-0.080-0.7640.7610.764-0.174-0.162-0.1810.0290.7630.7670.9150.0280.7630.763-0.7640.7630.7630.7631.000
Controller Hub Temp. Avg. [°C]-0.7780.7770.7780.0330.3540.9240.0850.034-0.278-0.263-0.285-0.1970.7770.0670.1280.1340.122-0.0980.9301.0000.751-0.0880.4340.0650.0010.007-0.231-0.252-0.257-0.253-0.270-0.250-0.0000.7770.7780.010-0.0990.153-0.239-0.244-0.242-0.276-0.259-0.276-0.0080.5840.489-0.077-0.233-0.277-0.278-0.2800.577-0.296-0.286-0.302-0.215-0.298-0.289-0.303-0.213-0.105-0.117-0.0720.077-0.129-0.171-0.164-0.094-0.080-0.0830.7770.7770.5980.1340.1430.1490.043-0.013-0.2360.069-0.059-0.025-0.0440.058-0.080-0.230-0.046-0.0880.7000.3540.354-0.233-0.2540.039-0.121-0.1190.088-0.298-0.127-0.7770.7750.778-0.276-0.259-0.2760.0080.7770.7790.9830.0440.7770.777-0.7770.7770.7770.7771.000
Controller Top Temp. Avg. [°C]-0.7520.7520.7520.0350.3540.8320.0710.0200.1610.1640.1320.1610.7520.047-0.020-0.0400.0060.0790.7530.7511.0000.4010.8280.4950.0420.0040.2260.2040.1950.1960.1780.2070.3260.7520.7520.4900.3540.5190.2450.2400.2420.1520.1550.1350.0310.8880.8400.3630.0500.1510.1510.1480.5770.1440.1500.0970.1430.1350.1370.0980.1250.0800.0870.0320.012-0.059-0.125-0.0390.3550.3610.3510.7520.7520.8090.6010.6030.6130.056-0.0040.166-0.117-0.046-0.032-0.0570.042-0.0960.1100.017-0.2570.9300.3540.3540.0580.166-0.1070.0870.087-0.0060.1350.109-0.7510.7520.7520.1520.1560.1340.0290.7520.7580.7570.0570.7520.752-0.7510.7520.7520.7521.000
Controller VCP ChokecoilTemp. Avg. [°C]-0.0860.0880.0870.0940.3550.0320.065-0.0120.7910.7840.7220.6880.0870.048-0.354-0.438-0.2910.446-0.014-0.0880.4011.0000.7250.821-0.1150.0150.8770.8700.8620.8700.8590.8710.6750.0880.0870.8680.8470.7640.9050.9060.9060.8240.8110.7680.1650.5700.6980.8640.6420.8270.8280.8280.5770.7870.7880.6660.6730.8200.8150.7170.6800.3800.3780.223-0.1830.0690.0340.1860.8510.8430.8490.0870.0870.4040.8210.8130.813-0.1770.1260.673-0.1580.1040.0240.177-0.1040.1640.6910.219-0.2840.4930.3550.3550.6450.717-0.0930.4260.380-0.1500.8210.457-0.0860.0900.0870.8180.8110.7680.1280.0870.092-0.098-0.1760.0880.087-0.0850.0870.0870.0871.000
Controller VCP Temp. Avg. [°C]-0.4610.4620.4620.0410.3540.5610.0470.0180.4940.4930.4400.4450.4620.020-0.136-0.192-0.0870.2690.4780.4340.8280.7251.0000.7870.0370.0140.5630.5480.5370.5400.5280.5490.5290.4620.4620.7540.6480.7400.6060.6010.6030.4880.4850.4530.0560.8130.8830.6960.3030.4860.4860.4850.5770.4820.4900.3940.4260.4830.4830.4190.3920.2750.2830.139-0.0690.001-0.0460.0900.6870.6850.6720.4620.4620.6950.7950.7840.7930.0420.0120.451-0.201-0.057-0.034-0.0440.054-0.1030.3890.103-0.3220.8450.3540.3540.3250.477-0.1690.3040.253-0.0700.4840.338-0.4610.4630.4620.4850.4850.4520.0390.4620.4670.4440.0450.4620.462-0.4610.4620.4620.4621.000
Controller VCP WaterTemp. Avg. [°C]-0.1710.1710.1710.0570.3530.1880.0220.0030.7570.7480.6960.6470.1710.001-0.239-0.300-0.1720.3470.1370.0650.4950.8210.7871.000-0.0010.0110.8080.8000.7900.7930.7820.7980.6330.1710.1710.8680.8190.9390.8560.8520.8530.7580.7480.7050.0970.5690.7510.9410.4960.7560.7570.7560.5770.7510.7500.6560.6180.7630.7540.6850.5890.3370.3660.169-0.0850.0620.0410.1990.9510.9570.9480.1710.1710.4920.8310.8170.821-0.0180.0480.710-0.333-0.005-0.0190.0170.002-0.0280.5940.127-0.3050.5800.3530.3530.5030.746-0.2680.3770.372-0.1430.7640.431-0.1700.1730.1710.7530.7490.7040.0680.1710.1760.074-0.0160.1710.171-0.1700.1710.1710.1711.000
First Alarm parameter 1 in 10 min frame-0.0360.0360.036-0.2450.0000.013-0.0540.0410.1040.0970.1080.0910.036-0.0600.2230.2210.223-0.105-0.0110.0010.042-0.1150.037-0.0011.0000.092-0.128-0.124-0.124-0.149-0.151-0.115-0.1430.0360.0360.023-0.029-0.084-0.050-0.053-0.052-0.172-0.129-0.192-0.034-0.0630.010-0.045-0.190-0.152-0.155-0.1510.0000.1050.0850.100-0.087-0.132-0.121-0.127-0.133-0.0180.019-0.0230.0540.0380.0410.022-0.036-0.050-0.0800.0360.036-0.007-0.003-0.001-0.0040.744-0.534-0.079-0.117-0.0060.004-0.7400.004-0.396-0.129-0.051-0.063-0.0100.0000.000-0.209-0.063-0.110-0.014-0.033-0.032-0.132-0.015-0.0360.0350.036-0.175-0.130-0.194-0.0290.0360.0370.0220.7430.0360.036-0.0360.0360.0360.0361.000
First Alarm parameter 2 in 10 min frame0.000-0.000-0.0000.0010.0000.006-0.0010.0240.0100.0090.0100.007-0.000-0.0050.0160.0030.0190.0260.0050.0070.0040.0150.0140.0110.0921.0000.0130.0120.0110.0140.0120.0120.006-0.000-0.0000.0120.0130.0130.0120.0120.0120.0100.023-0.0130.0240.0130.0180.0140.0060.0210.0210.0210.0000.0090.0090.004-0.0020.0190.023-0.0120.026-0.0150.017-0.0240.021-0.000-0.0010.0010.0140.0130.012-0.000-0.000-0.0100.0150.0160.0150.066-0.0420.007-0.006-0.0150.000-0.066-0.001-0.0300.0060.015-0.0100.0120.0000.000-0.0090.019-0.004-0.0120.008-0.0130.019-0.0110.000-0.000-0.0010.0100.024-0.0120.024-0.000-0.0010.0060.069-0.000-0.0000.000-0.000-0.000-0.0001.000
Gear Bearing TemperatureHSGeneratorEnd Avg. [°C]0.027-0.026-0.0270.0980.354-0.1090.047-0.0070.9360.9200.8660.777-0.0270.031-0.467-0.524-0.3780.414-0.132-0.2310.2260.8770.5630.808-0.1280.0131.0000.9940.9940.9920.9850.9940.684-0.026-0.0270.8560.8960.7320.9730.9730.9730.9730.9530.9080.2200.4280.5980.8890.7280.9740.9750.9750.5770.9340.9280.8140.7950.9710.9590.8590.7980.4120.4120.246-0.1790.1160.0990.2640.9110.8980.906-0.027-0.0270.2970.7700.7600.759-0.1970.1540.841-0.2760.1280.0310.198-0.1280.1790.8040.194-0.2540.3410.3540.3540.7230.867-0.1740.4550.430-0.1860.9720.4960.027-0.024-0.0270.9710.9530.9080.181-0.027-0.020-0.247-0.197-0.027-0.0270.026-0.027-0.027-0.0271.000
Gear Bearing TemperatureHSMiddle Avg. [°C]0.047-0.047-0.0470.0970.354-0.1310.044-0.0060.9290.9140.8560.777-0.0470.028-0.448-0.506-0.3570.429-0.152-0.2520.2040.8700.5480.800-0.1240.0120.9941.0000.9890.9890.9830.9910.682-0.047-0.0470.8500.8920.7230.9710.9720.9710.9670.9500.9030.2170.4080.5810.8770.7040.9660.9670.9670.5770.9270.9250.8010.7920.9640.9540.8460.7950.4230.4300.231-0.1560.1150.1000.2640.9040.8920.899-0.047-0.0470.2790.7610.7510.751-0.1920.1510.843-0.2850.1270.0290.193-0.1270.1750.7780.200-0.2510.3210.3540.3540.7080.870-0.1870.4660.432-0.1670.9650.5100.047-0.044-0.0470.9660.9500.9030.178-0.047-0.041-0.267-0.192-0.047-0.0470.047-0.047-0.047-0.0471.000
Gear Bearing TemperatureHSRotorEnd Avg. [°C]0.052-0.052-0.0520.0970.354-0.1350.047-0.0070.9380.9220.8690.776-0.0520.030-0.489-0.549-0.3960.398-0.155-0.2570.1950.8620.5370.790-0.1240.0110.9940.9891.0000.9900.9880.9940.679-0.052-0.0520.8380.8870.7090.9650.9660.9660.9750.9530.9140.2180.3970.5650.8790.7330.9760.9760.9760.5770.9370.9300.8210.8090.9730.9600.8640.8110.4070.4020.256-0.1910.1240.1100.2740.9020.8880.895-0.052-0.0520.2770.7450.7350.735-0.1920.1500.843-0.2790.1240.0300.193-0.1240.1730.8150.186-0.2420.3060.3540.3540.7260.863-0.1700.4510.421-0.1950.9740.4870.052-0.049-0.0520.9740.9530.9140.178-0.052-0.045-0.275-0.191-0.052-0.0520.052-0.052-0.052-0.0521.000
Gear Bearing TemperatureHollowShaftGenerator Avg. [°C]0.051-0.051-0.0510.1000.354-0.1330.051-0.0080.9270.9100.8610.765-0.0510.034-0.474-0.528-0.3890.417-0.153-0.2530.1960.8700.5400.793-0.1490.0140.9920.9890.9901.0000.9870.9890.682-0.051-0.0510.8350.8840.7170.9640.9650.9640.9750.9510.9170.2060.4030.5700.8780.7360.9730.9740.9740.5770.9250.9180.8080.7910.9710.9570.8630.7970.4210.4110.259-0.1900.1200.1040.2680.9010.8880.896-0.051-0.0510.2750.7440.7340.734-0.2170.1690.840-0.2660.1280.0340.218-0.1270.1880.8020.191-0.2430.3120.3540.3540.7350.865-0.1680.4650.428-0.1870.9720.5030.051-0.048-0.0510.9730.9510.9170.166-0.051-0.045-0.271-0.216-0.051-0.0510.051-0.051-0.051-0.0511.000
Gear Bearing TemperatureHollowShaftRotor Avg. [°C]0.068-0.068-0.0680.1000.354-0.1490.051-0.0060.9190.9010.8530.754-0.0680.034-0.497-0.550-0.4070.403-0.168-0.2700.1780.8590.5280.782-0.1510.0120.9850.9830.9880.9871.0000.9840.680-0.068-0.0680.8260.8810.7030.9590.9600.9590.9690.9420.9150.1990.3830.5480.8680.7300.9640.9650.9650.5770.9170.9110.7990.8000.9630.9490.8560.8020.4330.4130.268-0.1960.1270.1130.2760.8910.8780.885-0.068-0.0680.2670.7280.7180.717-0.2160.1740.841-0.2660.1270.0330.217-0.1260.1810.8020.188-0.2330.2890.3540.3540.7340.856-0.1690.4770.414-0.1770.9640.5080.068-0.065-0.0680.9690.9420.9160.159-0.068-0.061-0.289-0.215-0.068-0.0680.067-0.068-0.068-0.0681.000
Gear Oil TemperatureBasis Avg. [°C]0.042-0.042-0.0420.0980.354-0.1280.049-0.0060.9340.9180.8650.776-0.0420.033-0.466-0.521-0.3760.404-0.151-0.2500.2070.8710.5490.798-0.1150.0120.9940.9910.9940.9890.9841.0000.688-0.042-0.0420.8480.8920.7190.9700.9710.9700.9670.9470.9030.2220.4080.5820.8800.7180.9680.9690.9690.5770.9330.9270.8150.7950.9660.9530.8550.7960.4040.4070.241-0.1740.1180.1040.2670.9040.8910.898-0.042-0.0420.2870.7580.7490.748-0.1840.1460.840-0.2850.1250.0290.185-0.1250.1690.8000.187-0.2500.3220.3540.3540.7120.863-0.1780.4470.425-0.1870.9660.4880.042-0.039-0.0420.9650.9470.9030.183-0.042-0.036-0.266-0.184-0.042-0.0420.042-0.042-0.042-0.0421.000
Gear Oil TemperatureLevel1 Avg. [°C]-0.1050.1060.1050.1080.3580.0850.033-0.0400.5870.5770.5480.5150.1050.023-0.057-0.131-0.0320.3630.052-0.0000.3260.6750.5290.633-0.1430.0060.6840.6820.6790.6820.6800.6881.0000.1060.1050.6530.6440.6200.6590.6610.6600.6370.6290.6040.0350.4150.5920.6340.3560.6360.6370.6360.5770.5760.5780.5380.4260.6210.6170.5770.4420.1320.2400.0050.0390.0290.0200.1410.6420.6450.6550.1050.1050.3580.6660.6660.666-0.2190.1790.580-0.3060.1410.0280.220-0.1420.1900.3940.103-0.2590.4620.3580.3580.3510.649-0.2790.1680.346-0.1020.6220.258-0.1050.1070.1050.6300.6280.6040.0010.1050.1100.004-0.2180.1060.105-0.1050.1050.1060.1051.000
Generator 1 hours [h]-1.0001.0001.000-0.0070.0240.8100.1660.007-0.060-0.054-0.075-0.0261.0000.1480.0000.0050.009-0.0360.7630.7770.7520.0880.4620.1710.036-0.000-0.026-0.047-0.052-0.051-0.068-0.0420.1061.0001.0000.1830.0820.235-0.034-0.037-0.036-0.076-0.071-0.0780.0330.6700.6130.064-0.069-0.080-0.080-0.0810.016-0.081-0.077-0.110-0.045-0.100-0.096-0.122-0.043-0.010-0.035-0.0010.014-0.086-0.181-0.1520.0540.0600.0581.0001.0000.7490.3050.3330.3310.041-0.035-0.0620.024-0.034-0.016-0.0410.032-0.039-0.048-0.005-0.1790.7270.0240.024-0.069-0.0850.016-0.015-0.0410.038-0.100-0.023-1.0001.0001.000-0.075-0.070-0.0780.0401.0000.9950.7760.0411.0001.000-0.9991.0001.0001.0001.000
Generator 2 hours [h]-1.0001.0001.000-0.0070.0170.8110.1650.007-0.061-0.054-0.075-0.0261.0000.1470.0000.0050.009-0.0360.7640.7780.7520.0870.4620.1710.036-0.000-0.027-0.047-0.052-0.051-0.068-0.0420.1051.0001.0000.1820.0820.235-0.034-0.038-0.036-0.076-0.071-0.0780.0320.6700.6130.064-0.069-0.080-0.080-0.0810.025-0.081-0.077-0.110-0.045-0.100-0.096-0.122-0.043-0.010-0.035-0.0010.014-0.086-0.181-0.1520.0540.0600.0581.0001.0000.7480.3040.3330.3300.040-0.035-0.0620.023-0.033-0.016-0.0410.032-0.039-0.048-0.006-0.1790.7270.0170.017-0.069-0.0850.016-0.016-0.0410.038-0.100-0.024-1.0001.0001.000-0.075-0.070-0.0780.0401.0000.9950.7760.0401.0001.000-1.0001.0001.0001.0001.000
Generator Bearing Temp. Avg. [°C]-0.1820.1830.1820.0750.3530.1390.020-0.0050.8110.8070.7350.7100.1820.002-0.299-0.363-0.2100.3820.0830.0100.4900.8680.7540.8680.0230.0120.8560.8500.8380.8350.8260.8480.6530.1830.1821.0000.8920.8250.9000.8990.8990.7940.7960.7310.1870.6150.7620.8630.5300.7980.7990.7980.5780.8050.8070.6840.6650.7890.7920.6790.6570.3330.3880.133-0.0600.0730.0410.2000.8790.8760.8760.1820.1820.4920.8860.8770.878-0.0390.0160.742-0.3250.0640.0030.040-0.0660.0760.6190.189-0.3020.5700.3530.3530.5250.765-0.2510.3640.378-0.1170.7900.423-0.1820.1840.1820.7920.7960.7300.1530.1820.1930.011-0.0390.1830.182-0.1830.1820.1820.1821.000
Generator Bearing2 Temp. Avg. [°C]-0.0820.0820.0820.0790.3530.0280.0430.0070.8470.8390.7710.7270.0820.025-0.381-0.440-0.2860.384-0.011-0.0990.3540.8470.6480.819-0.0290.0130.8960.8920.8870.8840.8810.8920.6440.0820.0820.8921.0000.7670.9200.9210.9210.8510.8460.7920.2150.4980.6630.8460.5970.8530.8530.8530.5770.8430.8430.7190.7200.8450.8430.7300.7180.3650.4010.174-0.0960.0850.0630.2290.8710.8650.8690.0820.0820.3720.8030.7910.791-0.0940.0580.785-0.3150.0830.0140.095-0.0840.1170.6780.190-0.2520.4430.3530.3530.5920.796-0.2300.3970.387-0.1260.8450.447-0.0820.0860.0820.8510.8450.7920.1780.0820.085-0.107-0.0940.0820.082-0.0820.0820.0820.0821.000
Generator CoolingWater Temp. Avg. [°C]-0.2340.2350.2350.0700.3550.2670.029-0.0130.6580.6540.6000.5740.2350.016-0.196-0.242-0.1290.3040.2130.1530.5190.7640.7400.939-0.0840.0130.7320.7230.7090.7170.7030.7190.6200.2350.2350.8250.7671.0000.7790.7760.7770.6820.6790.6330.1110.5940.7520.8640.4090.6800.6820.6800.5770.6490.6510.5730.5250.6740.6690.5970.5290.2140.2920.0530.0240.0440.0240.1740.8820.9010.9050.2350.2350.5090.8140.8030.806-0.1090.0720.680-0.3730.043-0.0010.109-0.0440.0930.4800.114-0.2670.6150.3550.3550.3980.705-0.3190.2410.344-0.1050.6740.318-0.2340.2360.2340.6790.6790.6340.0860.2350.2400.164-0.1090.2350.235-0.2340.2350.2350.2351.000
Generator Phase1 Temp. Avg. [°C]0.035-0.034-0.0340.0860.353-0.1130.0320.0000.9240.9110.8490.780-0.0340.015-0.410-0.476-0.3230.424-0.146-0.2390.2450.9050.6060.856-0.0500.0120.9730.9710.9650.9640.9590.9700.659-0.034-0.0340.9000.9200.7791.0000.9990.9990.9320.9190.8660.2000.4260.6140.9200.6860.9370.9370.9370.5770.9230.9190.7990.7740.9360.9270.8240.7680.4120.4280.223-0.1530.1110.0940.2580.9380.9270.930-0.034-0.0340.3100.8010.7900.789-0.1140.0840.830-0.2970.0900.0160.115-0.0910.1200.7680.201-0.2700.3540.3530.3530.6830.857-0.2050.4540.428-0.1720.9360.5000.035-0.031-0.0340.9290.9190.8660.162-0.034-0.028-0.249-0.114-0.034-0.0340.035-0.034-0.034-0.0341.000
Generator Phase2 Temp. Avg. [°C]0.038-0.037-0.0380.0880.353-0.1180.032-0.0010.9230.9110.8490.780-0.0380.015-0.412-0.478-0.3240.424-0.151-0.2440.2400.9060.6010.852-0.0530.0120.9730.9720.9660.9650.9600.9710.661-0.037-0.0380.8990.9210.7760.9991.0001.0000.9320.9200.8660.2030.4230.6100.9160.6870.9370.9380.9380.5770.9230.9190.7980.7740.9360.9280.8240.7690.4090.4270.221-0.1520.1110.0940.2590.9340.9240.927-0.038-0.0380.3060.8000.7890.788-0.1190.0860.830-0.2960.0930.0180.120-0.0940.1260.7680.203-0.2670.3500.3530.3530.6840.857-0.2040.4510.428-0.1710.9360.4980.039-0.035-0.0380.9290.9200.8660.164-0.038-0.032-0.254-0.118-0.038-0.0380.038-0.038-0.038-0.0381.000
Generator Phase3 Temp. Avg. [°C]0.037-0.036-0.0360.0870.353-0.1160.032-0.0000.9230.9110.8490.780-0.0360.015-0.411-0.477-0.3230.424-0.149-0.2420.2420.9060.6030.853-0.0520.0120.9730.9710.9660.9640.9590.9700.660-0.036-0.0360.8990.9210.7770.9991.0001.0000.9320.9200.8650.2020.4240.6120.9170.6860.9370.9370.9370.5770.9230.9190.7980.7740.9350.9270.8230.7680.4100.4270.222-0.1520.1100.0940.2580.9350.9250.928-0.036-0.0360.3080.8010.7900.789-0.1160.0850.829-0.2960.0920.0170.117-0.0920.1230.7680.202-0.2690.3520.3530.3530.6830.856-0.2040.4520.428-0.1710.9360.4990.037-0.033-0.0360.9290.9190.8650.164-0.036-0.030-0.251-0.116-0.036-0.0360.037-0.036-0.036-0.0361.000
Generator RPM Avg. [RPM]0.076-0.076-0.0760.0900.047-0.1640.045-0.0100.9350.9170.8710.769-0.0760.030-0.501-0.559-0.4100.414-0.176-0.2760.1520.8240.4880.758-0.1720.0100.9730.9670.9750.9750.9690.9670.637-0.076-0.0760.7940.8510.6820.9320.9320.9321.0000.9690.9320.2310.3570.5230.8570.7430.9860.9860.9860.0010.9300.9270.8090.8050.9830.9710.8690.8150.4200.4120.261-0.1940.1280.1140.2750.8820.8680.877-0.076-0.0760.2370.7020.6910.691-0.2430.1820.837-0.2550.1410.0420.244-0.1380.2160.8030.199-0.2270.2640.0470.0470.7410.862-0.1480.4610.429-0.1810.9830.5000.076-0.073-0.0760.9950.9690.9320.190-0.076-0.070-0.297-0.242-0.076-0.0760.076-0.076-0.076-0.0761.000
Generator RPM Max. [RPM]0.071-0.071-0.0710.0770.044-0.1610.038-0.0080.9240.9320.8200.839-0.0710.022-0.438-0.547-0.3060.518-0.162-0.2590.1550.8110.4850.748-0.1290.0230.9530.9500.9530.9510.9420.9470.629-0.071-0.0710.7960.8460.6790.9190.9200.9200.9691.0000.8580.3610.3480.5290.8410.6790.9750.9750.9740.0000.9230.9470.7510.8410.9680.9880.7900.8580.4190.5090.152-0.0830.1260.1190.2780.8680.8550.865-0.071-0.0710.2310.7120.7010.701-0.2010.1400.830-0.2770.1280.0330.202-0.1270.2010.7630.289-0.2380.2750.0440.0440.6740.862-0.1580.4340.464-0.0830.9680.5140.071-0.068-0.0710.9640.9990.8590.320-0.071-0.065-0.274-0.200-0.071-0.0710.070-0.071-0.071-0.0711.000
Generator RPM Min. [RPM]0.078-0.078-0.0780.0920.177-0.1530.056-0.0180.8690.8130.8860.589-0.0780.041-0.518-0.493-0.5030.274-0.181-0.2760.1350.7680.4530.705-0.192-0.0130.9080.9030.9140.9170.9150.9030.604-0.078-0.0780.7310.7920.6330.8660.8660.8650.9320.8581.0000.0200.3420.4730.7910.7250.9120.9140.9151.0000.8560.8200.8370.6830.9140.8680.9140.6900.3690.2840.378-0.3010.1270.1060.2570.8190.8060.815-0.078-0.0780.2220.6450.6360.635-0.2640.2020.805-0.2340.1450.0420.265-0.1420.2200.7460.072-0.1950.2280.1770.1770.7480.810-0.1900.4520.344-0.2700.9140.4300.078-0.076-0.0780.9390.8600.998-0.018-0.078-0.071-0.303-0.264-0.078-0.0780.077-0.078-0.078-0.0781.000
Generator RPM StdDev [RPM]-0.0330.0330.0320.0180.034-0.0260.0300.0660.2190.2800.0650.3890.0320.010-0.367-0.448-0.1540.2730.019-0.0080.0310.1650.0560.097-0.0340.0240.2200.2170.2180.2060.1990.2220.0350.0330.0320.1870.2150.1110.2000.2030.2020.2310.3610.0201.0000.0820.0660.1230.1400.2490.2470.2450.0000.2210.291-0.0070.4010.2190.303-0.0330.4290.1450.363-0.1490.1230.0380.0510.0660.1530.1500.1590.0320.0320.0130.0830.0790.079-0.0930.0340.1190.0730.0800.0090.093-0.0850.1410.2870.3410.0190.0350.0340.0340.1380.0600.2270.0580.1010.2300.2190.131-0.0320.0330.0330.2170.3610.0190.9860.0320.031-0.033-0.0920.0320.032-0.0330.0320.0320.0331.000
Generator SlipRing Temp. Avg. [°C]-0.6690.6700.6700.0610.3540.6950.0750.0210.3350.3290.3000.2880.6700.051-0.192-0.216-0.1590.1980.6020.5840.8880.5700.8130.569-0.0630.0130.4280.4080.3970.4030.3830.4080.4150.6700.6700.6150.4980.5940.4260.4230.4240.3570.3480.3420.0821.0000.8670.4970.2730.3520.3530.3520.5770.3170.3190.2360.2990.3370.3330.2720.3030.2060.1660.141-0.095-0.033-0.111-0.0060.4800.4830.4860.6700.6700.7580.6760.6840.689-0.0870.0850.297-0.0520.046-0.0090.086-0.0490.0540.3060.087-0.2620.8880.3540.3540.2880.298-0.0360.2260.145-0.0370.3370.226-0.6690.6700.6700.3580.3490.3420.0680.6700.6790.576-0.0860.6700.670-0.6690.6700.6700.6701.000
Grid Busbar Temp. Avg. [°C]-0.6130.6130.6130.0500.3550.5960.094-0.0060.5320.5360.4750.4960.6130.075-0.066-0.128-0.0190.2880.5180.4890.8400.6980.8830.7510.0100.0180.5980.5810.5650.5700.5480.5820.5920.6130.6130.7620.6630.7520.6140.6100.6120.5230.5290.4730.0660.8671.0000.6770.2820.5260.5270.5240.5770.5180.5240.4400.4040.5140.5150.4440.3890.1840.2530.0400.024-0.010-0.0670.0720.6770.6790.6750.6130.6130.7970.8500.8550.860-0.0100.0330.499-0.2820.013-0.0180.010-0.017-0.0100.3650.105-0.3640.9120.3550.3550.2810.543-0.2410.2120.297-0.0820.5150.282-0.6120.6140.6130.5170.5290.4730.0510.6130.6200.506-0.0090.6130.613-0.6120.6130.6130.6131.000
Grid InverterPhase1 Temp. Avg. [°C]-0.0640.0640.0640.0640.3530.0360.0290.0010.8470.8340.7820.7190.0640.011-0.351-0.437-0.2860.4120.005-0.0770.3630.8640.6960.941-0.0450.0140.8890.8770.8790.8780.8680.8800.6340.0640.0640.8630.8460.8640.9200.9160.9170.8570.8410.7910.1230.4970.6771.0000.6610.8610.8620.8610.5770.8450.8390.7310.7070.8700.8560.7790.6850.4120.3870.272-0.2160.0810.0560.2150.9750.9660.9620.0640.0640.4020.7910.7790.781-0.0780.0890.721-0.2200.038-0.0050.078-0.0410.0360.7440.173-0.2950.4620.3530.3530.6580.770-0.1430.4640.389-0.1850.8700.492-0.0630.0660.0640.8500.8400.7900.0870.0640.070-0.082-0.0760.0640.064-0.0640.0640.0640.0641.000
Grid Production CosPhi Avg.0.069-0.069-0.0690.0860.075-0.1630.0980.0280.6940.6610.6620.495-0.0690.080-0.702-0.730-0.6950.228-0.148-0.2330.0500.6420.3030.496-0.1900.0060.7280.7040.7330.7360.7300.7180.356-0.069-0.0690.5300.5970.4090.6860.6870.6860.7430.6790.7250.1400.2730.2820.6611.0000.7490.7500.7510.0310.6920.6450.5850.6440.7520.7060.6850.6670.4410.1580.584-0.6390.1150.0750.1760.6260.6020.615-0.069-0.0690.1030.3790.3720.371-0.2660.1850.4660.2480.1480.0430.267-0.1450.2470.8620.181-0.1070.0980.0750.0750.9330.4520.2950.4990.225-0.3320.7520.3960.069-0.067-0.0690.7380.6800.7270.111-0.069-0.067-0.290-0.266-0.069-0.0690.068-0.069-0.069-0.0691.000
Grid Production CurrentPhase1 Avg. [A]0.080-0.080-0.0800.0890.000-0.1630.035-0.0150.9420.9280.8730.786-0.0800.021-0.481-0.546-0.3880.433-0.175-0.2770.1510.8270.4860.756-0.1520.0210.9740.9660.9760.9730.9640.9680.636-0.080-0.0800.7980.8530.6800.9370.9370.9370.9860.9750.9120.2490.3520.5260.8610.7491.0000.9990.9990.0020.9430.9380.8230.8030.9880.9780.8650.8210.3960.4140.236-0.1780.1160.1050.2640.8830.8680.878-0.080-0.0800.2240.7140.7020.702-0.2200.1560.836-0.2590.1350.0390.221-0.1330.2110.8160.210-0.2360.2660.0000.0000.7260.868-0.1460.4340.441-0.1810.9890.4810.080-0.077-0.0800.9820.9750.9130.211-0.080-0.073-0.296-0.219-0.080-0.0800.079-0.080-0.080-0.0801.000
Grid Production CurrentPhase2 Avg. [A]0.080-0.080-0.0800.0910.000-0.1630.037-0.0160.9410.9270.8720.785-0.0800.022-0.482-0.546-0.3890.432-0.176-0.2780.1510.8280.4860.757-0.1550.0210.9750.9670.9760.9740.9650.9690.637-0.080-0.0800.7990.8530.6820.9370.9380.9370.9860.9750.9140.2470.3530.5270.8620.7500.9991.0000.9990.0000.9420.9360.8230.8030.9890.9780.8660.8210.3960.4130.237-0.1780.1170.1050.2660.8840.8690.880-0.080-0.0800.2240.7140.7030.702-0.2220.1590.838-0.2600.1340.0390.224-0.1320.2120.8160.209-0.2350.2670.0000.0000.7280.869-0.1490.4340.441-0.1820.9890.4810.080-0.078-0.0800.9820.9750.9140.210-0.080-0.074-0.297-0.221-0.080-0.0800.080-0.080-0.080-0.0801.000
Grid Production CurrentPhase3 Avg. [A]0.081-0.081-0.0810.0870.000-0.1660.035-0.0160.9430.9280.8740.785-0.0810.021-0.482-0.545-0.3910.431-0.178-0.2800.1480.8280.4850.756-0.1510.0210.9750.9670.9760.9740.9650.9690.636-0.081-0.0810.7980.8530.6800.9370.9380.9370.9860.9740.9150.2450.3520.5240.8610.7510.9990.9991.0000.0000.9430.9370.8240.8020.9890.9780.8670.8200.3970.4120.239-0.1810.1160.1050.2650.8830.8680.879-0.081-0.0810.2220.7130.7020.701-0.2200.1560.838-0.2590.1360.0390.222-0.1340.2130.8160.208-0.2360.2640.0000.0000.7300.869-0.1480.4350.441-0.1840.9890.4820.081-0.078-0.0810.9830.9740.9150.208-0.081-0.075-0.300-0.220-0.081-0.0810.081-0.081-0.081-0.0811.000
Grid Production Frequency Avg. [Hz]0.0210.0190.0240.0970.3530.0420.0100.0000.0180.0081.0000.0000.0210.0160.0001.0001.0000.0000.5770.5770.5770.5770.5770.5770.0000.0000.5770.5770.5770.5770.5770.5770.5770.0160.0250.5780.5770.5770.5770.5770.5770.0010.0001.0000.0000.5770.5770.5770.0310.0020.0000.0001.0000.0000.0000.0110.0000.0160.5770.0480.0000.0000.0000.0000.0001.0001.0001.0000.5780.5780.5780.0210.0210.5770.5770.5770.5770.0000.0230.0000.0000.0400.5780.0120.0000.0190.0000.0000.5770.5770.3530.3530.0000.0000.0000.0000.0000.0000.0000.0000.0220.0220.0180.0000.0001.0000.0000.0210.0210.5770.0000.0210.0220.0220.0210.0180.0221.000
Grid Production PossiblePower Avg. [W]0.081-0.081-0.081-0.0400.000-0.1790.019-0.0060.9930.9780.9210.831-0.0810.002-0.411-0.472-0.3190.372-0.196-0.2960.1440.7870.4820.7510.1050.0090.9340.9270.9370.9250.9170.9330.576-0.081-0.0810.8050.8430.6490.9230.9230.9230.9300.9230.8560.2210.3170.5180.8450.6920.9430.9420.9430.0001.0000.9820.8810.7790.9430.9320.8360.7650.3750.3950.229-0.1650.1300.1220.2770.8700.8520.853-0.081-0.0810.2070.7070.6960.6950.028-0.0690.813-0.3070.0650.012-0.026-0.0670.0790.7870.178-0.2550.2430.0000.0000.6630.846-0.1890.4140.430-0.2090.9430.4640.081-0.079-0.0810.9250.9230.8550.185-0.081-0.075-0.3060.026-0.081-0.0810.081-0.081-0.081-0.0811.000
Grid Production PossiblePower Max. [W]0.077-0.077-0.077-0.0280.014-0.1790.018-0.0020.9740.9840.8690.885-0.0770.001-0.380-0.487-0.2590.463-0.186-0.2860.1500.7880.4900.7500.0850.0090.9280.9250.9300.9180.9110.9270.578-0.077-0.0770.8070.8430.6510.9190.9190.9190.9270.9470.8200.2910.3190.5240.8390.6450.9380.9360.9370.0000.9821.0000.8150.8390.9370.9550.7840.8210.4120.4860.163-0.0920.1330.1290.2850.8650.8480.849-0.077-0.0770.2220.7150.7040.7030.021-0.0590.813-0.3150.0510.016-0.018-0.0530.0710.7580.260-0.2650.2560.0140.0140.6300.848-0.1910.4370.454-0.1200.9370.5100.078-0.074-0.0770.9210.9460.8200.253-0.077-0.071-0.2940.019-0.077-0.0770.077-0.077-0.077-0.0771.000
Grid Production PossiblePower Min. [W]0.110-0.110-0.110-0.0280.000-0.175-0.005-0.0400.8790.8200.9170.594-0.110-0.012-0.322-0.279-0.3320.079-0.219-0.3020.0970.6660.3940.6560.1000.0040.8140.8010.8210.8080.7990.8150.538-0.110-0.1100.6840.7190.5730.7990.7980.7980.8090.7510.837-0.0070.2360.4400.7310.5850.8230.8230.8240.0110.8810.8151.0000.5350.8250.7690.9220.5260.1090.1060.240-0.2020.0970.0970.2300.7610.7470.748-0.110-0.1100.1520.6250.6150.6130.019-0.0540.762-0.4200.0780.030-0.018-0.0750.0810.673-0.065-0.2130.1840.0000.0000.5270.791-0.3380.2110.335-0.4190.8250.2170.110-0.108-0.1100.8040.7520.835-0.031-0.110-0.103-0.3010.017-0.110-0.1100.110-0.110-0.110-0.1101.000
Grid Production PossiblePower StdDev [W]0.045-0.045-0.0450.0490.000-0.1400.0500.0480.7690.8100.6080.805-0.0450.030-0.530-0.697-0.3540.458-0.117-0.2150.1430.6730.4260.618-0.087-0.0020.7950.7920.8090.7910.8000.7950.426-0.045-0.0450.6650.7200.5250.7740.7740.7740.8050.8410.6830.4010.2990.4040.7070.6440.8030.8030.8020.0000.7790.8390.5351.0000.8070.8560.5860.9720.4920.5200.201-0.1500.1550.1460.2820.7290.7100.711-0.045-0.0450.2500.5560.5470.547-0.0970.0950.686-0.1560.029-0.0060.097-0.0340.0490.7330.377-0.1970.2030.0000.0000.6500.658-0.0280.4910.397-0.0450.8070.5390.045-0.042-0.0450.8060.8400.6840.366-0.045-0.040-0.240-0.095-0.045-0.0450.044-0.045-0.045-0.0451.000
Grid Production Power Avg. [W]0.100-0.100-0.1000.0810.000-0.1870.035-0.0160.9420.9250.8760.777-0.1000.022-0.480-0.541-0.3920.414-0.200-0.2980.1350.8200.4830.763-0.1320.0190.9710.9640.9730.9710.9630.9660.621-0.100-0.1000.7890.8450.6740.9360.9360.9350.9830.9680.9140.2190.3370.5140.8700.7520.9880.9890.9890.0160.9430.9370.8250.8071.0000.9830.8810.8110.4300.4230.273-0.2040.1270.1160.2740.8920.8740.881-0.100-0.1000.2180.6980.6870.687-0.1930.1480.837-0.2610.1040.0250.193-0.1040.1640.8220.182-0.2310.2460.0000.0000.7470.869-0.1460.4710.441-0.1961.0000.5110.100-0.097-0.1000.9800.9680.9140.184-0.100-0.093-0.312-0.192-0.100-0.1000.099-0.100-0.100-0.1001.000
Grid Production Power Max. [W]0.096-0.096-0.0960.0780.354-0.1890.030-0.0100.9290.9350.8300.835-0.0960.017-0.446-0.552-0.3270.497-0.192-0.2890.1370.8150.4830.754-0.1210.0230.9590.9540.9600.9570.9490.9530.617-0.096-0.0960.7920.8430.6690.9270.9280.9270.9710.9880.8680.3030.3330.5150.8560.7060.9780.9780.9780.5770.9320.9550.7690.8560.9831.0000.8180.8640.4430.5000.196-0.1270.1290.1210.2800.8780.8620.869-0.096-0.0960.2230.7040.6930.692-0.1790.1340.831-0.2690.1010.0240.180-0.1010.1610.7900.271-0.2370.2530.3540.3540.7040.863-0.1490.4700.461-0.1150.9830.5340.096-0.093-0.0960.9660.9870.8690.265-0.096-0.090-0.301-0.178-0.096-0.0960.095-0.096-0.096-0.0961.000
Grid Production Power Min. [W]0.122-0.122-0.1220.0680.022-0.1840.020-0.0380.8400.7810.8750.559-0.1220.012-0.427-0.383-0.4580.131-0.220-0.3030.0980.7170.4190.685-0.127-0.0120.8590.8460.8640.8630.8560.8550.577-0.122-0.1220.6790.7300.5970.8240.8240.8230.8690.7900.914-0.0330.2720.4440.7790.6850.8650.8660.8670.0480.8360.7840.9220.5860.8810.8181.0000.5690.2130.1460.366-0.3470.1020.0920.2310.7950.7790.783-0.122-0.1220.1770.6150.6050.604-0.1740.1490.762-0.3040.0850.0250.174-0.0830.1200.735-0.037-0.2000.1930.0220.0220.6770.784-0.2530.3450.301-0.4210.8810.3010.122-0.120-0.1220.8650.7910.913-0.060-0.122-0.116-0.312-0.174-0.122-0.1220.122-0.122-0.122-0.1221.000
Grid Production Power StdDev [W]0.043-0.043-0.0430.0740.000-0.1390.0550.0360.7580.7970.6020.793-0.0430.040-0.549-0.719-0.3720.482-0.113-0.2130.1250.6800.3920.589-0.1330.0260.7980.7950.8110.7970.8020.7960.442-0.043-0.0430.6570.7180.5290.7680.7690.7680.8150.8580.6900.4290.3030.3890.6850.6670.8210.8210.8200.0000.7650.8210.5260.9720.8110.8640.5691.0000.4550.4980.163-0.1210.1480.1370.2720.7070.6930.703-0.043-0.0430.2210.5520.5430.543-0.1940.1300.686-0.1330.1170.0260.194-0.1180.1940.7150.400-0.1740.1950.0000.0000.6540.659-0.0050.4470.400-0.0320.8110.5030.043-0.041-0.0430.8180.8570.6920.393-0.043-0.038-0.245-0.193-0.043-0.0430.042-0.043-0.043-0.0431.000
Grid Production ReactivePower Avg. [W]0.010-0.010-0.0100.0480.050-0.0840.0770.0790.3780.3800.2920.345-0.0100.043-0.426-0.490-0.3260.490-0.060-0.1050.0800.3800.2750.337-0.018-0.0150.4120.4230.4070.4210.4330.4040.132-0.010-0.0100.3330.3650.2140.4120.4090.4100.4200.4190.3690.1450.2060.1840.4120.4410.3960.3960.3970.0000.3750.4120.1090.4920.4300.4430.2130.4551.0000.6190.424-0.2330.0850.0440.1090.3940.3710.361-0.010-0.0100.1240.1910.1890.190-0.0220.0940.2220.318-0.038-0.0120.0200.040-0.0910.4700.283-0.0940.0840.0500.0500.5670.2160.3530.9190.1880.3110.4300.8860.010-0.009-0.0100.4270.4190.3690.113-0.010-0.012-0.149-0.019-0.010-0.0100.010-0.010-0.010-0.0101.000
Grid Production ReactivePower Max. [W]0.035-0.035-0.0350.0190.000-0.1070.0300.0690.3900.4400.2450.515-0.0350.004-0.108-0.2630.0710.720-0.080-0.1170.0870.3780.2830.3660.0190.0170.4120.4300.4020.4110.4130.4070.240-0.035-0.0350.3880.4010.2920.4280.4270.4270.4120.5090.2840.3630.1660.2530.3870.1580.4140.4130.4120.0000.3950.4860.1060.5200.4230.5000.1460.4980.6191.000-0.1200.2400.1040.0990.1740.4000.3890.382-0.035-0.0350.1280.3250.3210.3230.041-0.0020.367-0.036-0.077-0.018-0.0390.076-0.0920.2710.564-0.1560.1430.0000.0000.2610.390-0.0040.5430.3560.4280.4230.6740.036-0.033-0.0350.4100.5060.2850.334-0.035-0.035-0.1230.044-0.035-0.0350.036-0.035-0.035-0.0351.000
Grid Production ReactivePower Min. [W]0.001-0.001-0.0010.0510.000-0.0320.0810.0420.2410.1710.315-0.014-0.0010.056-0.561-0.461-0.660-0.091-0.035-0.0720.0320.2230.1390.169-0.023-0.0240.2460.2310.2560.2590.2680.2410.005-0.001-0.0010.1330.1740.0530.2230.2210.2220.2610.1520.378-0.1490.1410.0400.2720.5840.2360.2370.2390.0000.2290.1630.2400.2010.2730.1960.3660.1630.424-0.1201.000-0.7910.0520.0030.0260.2290.2050.197-0.001-0.0010.053-0.005-0.003-0.005-0.0440.1010.0070.463-0.004-0.0010.0410.006-0.0560.490-0.2420.006-0.0210.0000.0000.648-0.0290.4220.522-0.105-0.2640.2730.2820.001-0.001-0.0010.2680.1550.377-0.160-0.001-0.001-0.127-0.043-0.001-0.0010.001-0.001-0.001-0.0011.000
Grid Production ReactivePower StdDev [W]-0.0140.0140.014-0.0590.0000.053-0.088-0.057-0.172-0.115-0.2450.0440.014-0.0620.5780.4850.7140.1830.0410.0770.012-0.183-0.069-0.0850.0540.021-0.179-0.156-0.191-0.190-0.196-0.1740.0390.0140.014-0.060-0.0960.024-0.153-0.152-0.152-0.194-0.083-0.3010.123-0.0950.024-0.216-0.639-0.178-0.178-0.1810.000-0.165-0.092-0.202-0.150-0.204-0.127-0.347-0.121-0.2330.240-0.7911.000-0.053-0.005-0.008-0.148-0.122-0.1180.0140.014-0.0030.0690.0670.0680.084-0.1130.123-0.585-0.033-0.015-0.0820.029-0.007-0.4880.067-0.0170.0640.0000.000-0.6800.154-0.521-0.3790.2120.437-0.204-0.081-0.0130.0140.014-0.195-0.086-0.3010.1310.0140.0150.1370.0830.0140.014-0.0130.0140.0140.0141.000
Grid Production VoltagePhase1 Avg. [V]0.085-0.086-0.086-0.0230.177-0.1060.0060.0170.1330.1340.1190.109-0.0850.013-0.133-0.136-0.1050.026-0.109-0.129-0.0590.0690.0010.0620.038-0.0000.1160.1150.1240.1200.1270.1180.029-0.086-0.0860.0730.0850.0440.1110.1110.1100.1280.1260.1270.038-0.033-0.0100.0810.1150.1160.1170.1161.0000.1300.1330.0970.1550.1270.1290.1020.1480.0850.1040.052-0.0531.0000.9720.9570.0940.0890.088-0.085-0.085-0.0030.0400.0400.0370.017-0.0200.113-0.014-0.0020.002-0.0160.004-0.0040.1210.0470.005-0.0510.1770.1770.1280.0960.0020.0870.076-0.0200.1270.0940.085-0.086-0.0850.1310.1270.1260.033-0.085-0.085-0.1360.017-0.085-0.0850.084-0.085-0.085-0.0851.000
Grid Production VoltagePhase2 Avg. [V]0.180-0.181-0.181-0.0320.177-0.161-0.0200.0130.1210.1300.1010.117-0.180-0.011-0.100-0.104-0.0640.010-0.146-0.171-0.1250.034-0.0460.0410.041-0.0010.0990.1000.1100.1040.1130.1040.020-0.181-0.1810.0410.0630.0240.0940.0940.0940.1140.1190.1060.051-0.111-0.0670.0560.0750.1050.1050.1051.0000.1220.1290.0970.1460.1160.1210.0920.1370.0440.0990.003-0.0050.9721.0000.9680.0780.0740.073-0.180-0.180-0.0670.0080.0040.0030.026-0.0350.126-0.069-0.019-0.001-0.0250.022-0.0110.0900.0440.020-0.1060.1770.1770.0800.108-0.0460.0440.079-0.0190.1160.0630.180-0.181-0.1800.1170.1200.1050.048-0.180-0.180-0.1730.026-0.180-0.1800.179-0.180-0.180-0.1801.000
Grid Production VoltagePhase3 Avg. [V]0.152-0.152-0.152-0.0250.177-0.1300.0060.0070.2750.2860.2380.257-0.1520.013-0.155-0.174-0.1010.085-0.126-0.164-0.0390.1860.0900.1990.0220.0010.2640.2640.2740.2680.2760.2670.141-0.152-0.1520.2000.2290.1740.2580.2590.2580.2750.2780.2570.066-0.0060.0720.2150.1760.2640.2660.2651.0000.2770.2850.2300.2820.2740.2800.2310.2720.1090.1740.026-0.0080.9570.9681.0000.2420.2370.237-0.152-0.1520.0240.1620.1560.1550.003-0.0210.290-0.156-0.015-0.000-0.0020.0180.0060.2050.075-0.031-0.0030.1770.1770.1800.274-0.1220.1140.155-0.0420.2750.1460.152-0.151-0.1520.2790.2780.2570.056-0.152-0.149-0.1660.003-0.152-0.1520.151-0.152-0.152-0.1521.000
Grid RotorInvPhase1 Temp. Avg. [°C]-0.0540.0540.0540.0640.3530.0280.0230.0040.8730.8590.8070.7310.0540.006-0.353-0.416-0.2730.377-0.008-0.0940.3550.8510.6870.951-0.0360.0140.9110.9040.9020.9010.8910.9040.6420.0540.0540.8790.8710.8820.9380.9340.9350.8820.8680.8190.1530.4800.6770.9750.6260.8830.8840.8830.5780.8700.8650.7610.7290.8920.8780.7950.7070.3940.4000.229-0.1480.0940.0780.2421.0000.9900.9840.0540.0540.3990.8010.7880.790-0.0660.0770.787-0.3140.031-0.0050.066-0.0330.0280.7210.153-0.2880.4540.3530.3530.6250.823-0.2210.4360.416-0.1790.8920.485-0.0540.0570.0540.8780.8690.8180.1200.0540.060-0.095-0.0640.0540.054-0.0540.0540.0540.0541.000
Grid RotorInvPhase2 Temp. Avg. [°C]-0.0600.0600.0600.0690.3530.0410.0230.0010.8560.8420.7900.7180.0600.006-0.334-0.394-0.2550.3710.005-0.0800.3610.8430.6850.957-0.0500.0130.8980.8920.8880.8880.8780.8910.6450.0600.0600.8760.8650.9010.9270.9240.9250.8680.8550.8060.1500.4830.6790.9660.6020.8680.8690.8680.5780.8520.8480.7470.7100.8740.8620.7790.6930.3710.3890.205-0.1220.0890.0740.2370.9901.0000.9910.0600.0600.4010.8030.7900.792-0.0770.0790.784-0.3290.036-0.0030.077-0.0370.0430.6950.147-0.2810.4630.3530.3530.6000.819-0.2390.4100.413-0.1710.8750.466-0.0600.0630.0600.8640.8550.8060.1170.0600.066-0.079-0.0760.0610.060-0.0600.0600.0600.0601.000
Grid RotorInvPhase3 Temp. Avg. [°C]-0.0580.0580.0580.0740.3530.0380.026-0.0050.8580.8450.7920.7220.0580.011-0.346-0.407-0.2670.3780.002-0.0830.3510.8490.6720.948-0.0800.0120.9060.8990.8950.8960.8850.8980.6550.0580.0580.8760.8690.9050.9300.9270.9280.8770.8650.8150.1590.4860.6750.9620.6150.8780.8800.8790.5780.8530.8490.7480.7110.8810.8690.7830.7030.3610.3820.197-0.1180.0880.0730.2370.9840.9911.0000.0580.0580.3920.8040.7910.792-0.1100.0880.788-0.3220.0490.0040.110-0.0490.0840.7000.153-0.2710.4580.3530.3530.6080.823-0.2310.4000.414-0.1700.8820.456-0.0580.0610.0580.8740.8650.8150.1260.0580.064-0.085-0.1090.0580.058-0.0580.0580.0580.0581.000
Grid ok hours [h]-1.0001.0001.000-0.0070.0200.8110.1650.007-0.061-0.054-0.075-0.0261.0000.1480.0000.0050.009-0.0360.7630.7770.7520.0870.4620.1710.036-0.000-0.027-0.047-0.052-0.051-0.068-0.0420.1051.0001.0000.1820.0820.235-0.034-0.038-0.036-0.076-0.071-0.0780.0320.6700.6130.064-0.069-0.080-0.080-0.0810.021-0.081-0.077-0.110-0.045-0.100-0.096-0.122-0.043-0.010-0.035-0.0010.014-0.085-0.180-0.1520.0540.0600.0581.0001.0000.7490.3040.3330.3300.040-0.035-0.0630.023-0.033-0.016-0.0410.032-0.039-0.048-0.006-0.1790.7270.0200.020-0.069-0.0850.016-0.016-0.0410.038-0.100-0.024-1.0001.0001.000-0.075-0.070-0.0780.0401.0000.9950.7760.0401.0001.000-1.0001.0001.0001.0001.000
Grid on hours [h]-1.0001.0001.000-0.0070.0200.8110.1650.007-0.061-0.054-0.075-0.0261.0000.1480.0000.0050.009-0.0360.7630.7770.7520.0870.4620.1710.036-0.000-0.027-0.047-0.052-0.051-0.068-0.0420.1051.0001.0000.1820.0820.235-0.034-0.038-0.036-0.076-0.071-0.0780.0320.6700.6130.064-0.069-0.080-0.080-0.0810.021-0.081-0.077-0.110-0.045-0.100-0.096-0.122-0.043-0.010-0.035-0.0010.014-0.085-0.180-0.1520.0540.0600.0581.0001.0000.7490.3040.3330.3300.040-0.035-0.0630.023-0.033-0.016-0.0410.032-0.039-0.048-0.006-0.1790.7270.0200.020-0.069-0.0850.016-0.016-0.0410.038-0.100-0.024-1.0001.0001.000-0.075-0.070-0.0780.0401.0000.9950.7760.0401.0001.000-1.0001.0001.0001.0001.000
HVTrafo AirOutlet Temp. Avg. [°C]-0.7480.7490.7480.0230.3540.6660.0960.0270.2230.2270.1890.2100.7490.076-0.079-0.112-0.0370.0990.5930.5980.8090.4040.6950.492-0.007-0.0100.2970.2790.2770.2750.2670.2870.3580.7490.7480.4920.3720.5090.3100.3060.3080.2370.2310.2220.0130.7580.7970.4020.1030.2240.2240.2220.5770.2070.2220.1520.2500.2180.2230.1770.2210.1240.1280.053-0.003-0.003-0.0670.0240.3990.4010.3920.7490.7491.0000.6310.6580.6570.0220.0410.252-0.165-0.057-0.032-0.0230.054-0.1060.1770.031-0.2680.8260.3540.3540.1170.245-0.1450.1350.111-0.0180.2180.154-0.7480.7500.7480.2390.2310.2220.0050.7490.7560.6050.0240.7490.749-0.7470.7490.7490.7491.000
HVTrafo Phase1 Temp. Avg. [°C]-0.3030.3050.3040.0700.3530.2670.016-0.0240.7110.7140.6460.6480.304-0.004-0.110-0.184-0.0370.3580.1950.1340.6010.8210.7950.831-0.0030.0150.7700.7610.7450.7440.7280.7580.6660.3050.3040.8860.8030.8140.8010.8000.8010.7020.7120.6450.0830.6760.8500.7910.3790.7140.7140.7130.5770.7070.7150.6250.5560.6980.7040.6150.5520.1910.325-0.0050.0690.0400.0080.1620.8010.8030.8040.3040.3040.6311.0000.9940.996-0.0410.0250.710-0.4300.0510.0030.041-0.0510.0610.4680.148-0.3580.6960.3530.3530.3630.759-0.3750.2190.385-0.1110.6990.321-0.3030.3070.3030.6990.7120.6450.0570.3040.3140.151-0.0400.3040.304-0.3030.3040.3040.3041.000
HVTrafo Phase2 Temp. Avg. [°C]-0.3320.3330.3330.0700.3530.2740.025-0.0230.7010.7040.6370.6390.3330.006-0.105-0.179-0.0340.3560.1990.1430.6030.8130.7840.817-0.0010.0160.7600.7510.7350.7340.7180.7490.6660.3330.3330.8770.7910.8030.7900.7890.7900.6910.7010.6360.0790.6840.8550.7790.3720.7020.7030.7020.5770.6960.7040.6150.5470.6870.6930.6050.5430.1890.321-0.0030.0670.0400.0040.1560.7880.7900.7910.3330.3330.6580.9941.0000.997-0.0380.0230.698-0.4220.0500.0030.039-0.0510.0590.4590.146-0.3620.7010.3530.3530.3580.747-0.3690.2180.380-0.1080.6880.319-0.3320.3350.3320.6890.7010.6360.0530.3330.3430.160-0.0380.3330.333-0.3310.3330.3330.3331.000
HVTrafo Phase3 Temp. Avg. [°C]-0.3290.3310.3300.0700.3530.2800.022-0.0230.6990.7030.6340.6410.3300.002-0.103-0.178-0.0320.3580.2080.1490.6130.8130.7930.821-0.0040.0150.7590.7510.7350.7340.7170.7480.6660.3310.3300.8780.7910.8060.7890.7880.7890.6910.7010.6350.0790.6890.8600.7810.3710.7020.7020.7010.5770.6950.7030.6130.5470.6870.6920.6040.5430.1900.323-0.0050.0680.0370.0030.1550.7900.7920.7920.3300.3300.6570.9960.9971.000-0.0400.0250.697-0.4220.0490.0020.041-0.0500.0590.4580.149-0.3630.7080.3530.3530.3570.747-0.3690.2180.380-0.1070.6870.319-0.3290.3330.3290.6880.7010.6350.0530.3300.3400.166-0.0400.3300.330-0.3290.3300.3300.3301.000
HourCounters Average AlarmActive Avg. [h]-0.0400.0410.040-0.3360.0000.057-0.0630.0480.0240.0240.0160.0350.040-0.0750.2950.2850.296-0.1180.0270.0430.056-0.1770.042-0.0180.7440.066-0.197-0.192-0.192-0.217-0.216-0.184-0.2190.0410.040-0.039-0.094-0.109-0.114-0.119-0.116-0.243-0.201-0.264-0.093-0.087-0.010-0.078-0.266-0.220-0.222-0.2200.0000.0280.0210.019-0.097-0.193-0.179-0.174-0.194-0.0220.041-0.0440.0840.0170.0260.003-0.066-0.077-0.1100.0400.0400.022-0.041-0.038-0.0401.000-0.762-0.117-0.151-0.506-0.120-0.9940.496-0.796-0.162-0.080-0.089-0.0150.0000.000-0.282-0.102-0.140-0.018-0.047-0.030-0.192-0.018-0.0400.0400.040-0.247-0.202-0.267-0.0790.0400.0410.0761.0000.0410.040-0.0400.0400.0400.0401.000
HourCounters Average AmbientOk Avg. [h]0.035-0.035-0.0350.4600.193-0.0290.0280.005-0.068-0.082-0.046-0.101-0.0350.038-0.229-0.218-0.2300.060-0.011-0.013-0.0040.1260.0120.048-0.534-0.0420.1540.1510.1500.1690.1740.1460.179-0.035-0.0350.0160.0580.0720.0840.0860.0850.1820.1400.2020.0340.0850.0330.0890.1850.1560.1590.1560.023-0.069-0.059-0.0540.0950.1480.1340.1490.1300.094-0.0020.101-0.113-0.020-0.035-0.0210.0770.0790.088-0.035-0.0350.0410.0250.0230.025-0.7621.0000.0860.1170.6760.2230.772-0.6540.4340.1510.0390.0690.0500.1930.1930.2320.0730.1080.0920.0390.0240.1490.0830.035-0.035-0.0350.1840.1400.2030.025-0.035-0.038-0.035-0.753-0.035-0.0350.035-0.035-0.035-0.0351.000
HourCounters Average Gen1 Avg. [h]0.063-0.062-0.0620.0460.000-0.117-0.004-0.0380.8100.8030.7480.681-0.063-0.005-0.279-0.308-0.1700.276-0.153-0.2360.1660.6730.4510.710-0.0790.0070.8410.8430.8430.8400.8410.8400.580-0.062-0.0620.7420.7850.6800.8300.8300.8290.8370.8300.8050.1190.2970.4990.7210.4660.8360.8380.8380.0000.8130.8130.7620.6860.8370.8310.7620.6860.2220.3670.0070.1230.1130.1260.2900.7870.7840.788-0.063-0.0630.2520.7100.6980.697-0.1170.0861.000-0.6710.0710.0220.118-0.0690.1080.5570.099-0.2150.2680.0000.0000.4480.967-0.5990.2370.441-0.1470.8380.3520.063-0.060-0.0630.8420.8310.8060.094-0.063-0.055-0.223-0.117-0.063-0.0630.062-0.063-0.063-0.0631.000
HourCounters Average Gen2 Avg. [h]-0.0240.0230.0230.0530.017-0.0060.0970.080-0.298-0.311-0.278-0.2970.0230.074-0.300-0.306-0.3740.1050.0520.069-0.117-0.158-0.201-0.333-0.117-0.006-0.276-0.285-0.279-0.266-0.266-0.285-0.3060.0240.023-0.325-0.315-0.373-0.297-0.296-0.296-0.255-0.277-0.2340.073-0.052-0.282-0.2200.248-0.259-0.260-0.2590.000-0.307-0.315-0.420-0.156-0.261-0.269-0.304-0.1330.318-0.0360.463-0.585-0.014-0.069-0.156-0.314-0.329-0.3220.0230.023-0.165-0.430-0.422-0.422-0.1510.117-0.6711.0000.0730.0200.151-0.0720.1190.0860.1490.135-0.1830.0170.0170.322-0.6490.9320.320-0.2650.107-0.2610.127-0.0240.0220.024-0.259-0.276-0.2340.0680.0230.017-0.002-0.1500.0230.023-0.0230.0230.0230.0231.000
HourCounters Average GridOk Avg. [h]0.033-0.034-0.0330.3260.348-0.0690.011-0.0120.0690.0520.0950.023-0.0330.024-0.153-0.140-0.1550.022-0.053-0.059-0.0460.104-0.057-0.005-0.006-0.0150.1280.1270.1240.1280.1270.1250.141-0.034-0.0330.0640.0830.0430.0900.0930.0920.1410.1280.1450.0800.0460.0130.0380.1480.1350.1340.1360.0400.0650.0510.0780.0290.1040.1010.0850.117-0.038-0.077-0.004-0.033-0.002-0.019-0.0150.0310.0360.049-0.033-0.033-0.0570.0510.0500.049-0.5060.6760.0710.0731.0000.3300.525-0.9630.6490.0750.0720.0750.0090.3480.3480.1350.0680.064-0.0440.0300.0090.105-0.0350.033-0.034-0.0330.1420.1280.1460.064-0.033-0.034-0.085-0.505-0.033-0.0330.032-0.033-0.033-0.0331.000
HourCounters Average GridOn Avg. [h]0.016-0.016-0.0160.4960.595-0.0300.015-0.0180.0150.0080.046-0.016-0.0160.045-0.045-0.031-0.043-0.019-0.022-0.025-0.0320.024-0.034-0.0190.0040.0000.0310.0290.0300.0340.0330.0290.028-0.016-0.0160.0030.014-0.0010.0160.0180.0170.0420.0330.0420.009-0.009-0.018-0.0050.0430.0390.0390.0390.5780.0120.0160.030-0.0060.0250.0240.0250.026-0.012-0.018-0.001-0.0150.002-0.001-0.000-0.005-0.0030.004-0.016-0.016-0.0320.0030.0030.002-0.1200.2230.0220.0200.3301.0000.173-0.1690.2140.0330.0120.021-0.0190.5950.5950.0350.0210.015-0.0160.006-0.0030.028-0.0110.016-0.016-0.0160.0430.0330.0440.007-0.016-0.015-0.031-0.124-0.016-0.0160.016-0.016-0.016-0.0161.000
HourCounters Average Run Avg. [h]0.041-0.041-0.0410.3590.132-0.0590.063-0.047-0.022-0.023-0.015-0.035-0.0410.077-0.295-0.286-0.2960.119-0.027-0.044-0.0570.177-0.0440.017-0.740-0.0660.1980.1930.1930.2180.2170.1850.220-0.041-0.0410.0400.0950.1090.1150.1200.1170.2440.2020.2650.0930.0860.0100.0780.2670.2210.2240.2220.012-0.026-0.018-0.0180.0970.1930.1800.1740.1940.020-0.0390.041-0.082-0.016-0.025-0.0020.0660.0770.110-0.041-0.041-0.0230.0410.0390.041-0.9940.7720.1180.1510.5250.1731.000-0.5050.8060.1630.0810.0900.0140.1320.1320.2820.1030.1400.0150.0480.0310.1930.0160.040-0.041-0.0410.2480.2030.2680.080-0.041-0.041-0.077-0.994-0.041-0.0410.040-0.041-0.041-0.0411.000
HourCounters Average ServiceOn Avg. [h]-0.0320.0320.032-0.2470.3820.067-0.0080.010-0.071-0.053-0.090-0.0280.032-0.0160.1500.1400.153-0.0260.0510.0580.042-0.1040.0540.0020.004-0.001-0.128-0.127-0.124-0.127-0.126-0.125-0.1420.0320.032-0.066-0.084-0.044-0.091-0.094-0.092-0.138-0.127-0.142-0.085-0.049-0.017-0.041-0.145-0.133-0.132-0.1340.000-0.067-0.053-0.075-0.034-0.104-0.101-0.083-0.1180.0400.0760.0060.0290.0040.0220.018-0.033-0.037-0.0490.0320.0320.054-0.051-0.051-0.0500.496-0.654-0.069-0.072-0.963-0.169-0.5051.000-0.628-0.072-0.074-0.074-0.0130.3820.382-0.133-0.066-0.0660.045-0.029-0.010-0.1040.035-0.0310.0320.032-0.139-0.127-0.143-0.0690.0320.0330.0840.4940.0320.032-0.0310.0320.0320.0321.000
HourCounters Average TurbineOk Avg. [h]0.039-0.039-0.0390.2130.194-0.0910.056-0.0710.0850.0870.0890.072-0.0390.073-0.237-0.232-0.2370.110-0.059-0.080-0.0960.164-0.103-0.028-0.396-0.0300.1790.1750.1730.1880.1810.1690.190-0.039-0.0390.0760.1170.0930.1200.1260.1230.2160.2010.2200.1410.054-0.0100.0360.2470.2110.2120.2130.0190.0790.0710.0810.0490.1640.1610.1200.194-0.091-0.092-0.056-0.007-0.004-0.0110.0060.0280.0430.084-0.039-0.039-0.1060.0610.0590.059-0.7960.4340.1080.1190.6490.2140.806-0.6281.0000.1060.1140.091-0.0250.1940.1940.2060.1030.109-0.1010.0450.0230.165-0.0820.038-0.039-0.0390.2200.2010.2240.123-0.039-0.037-0.117-0.802-0.039-0.0390.038-0.039-0.039-0.0391.000
HourCounters Average WindOk Avg. [h]0.048-0.048-0.0480.0750.029-0.1390.0780.0390.7890.7570.7450.585-0.0480.056-0.708-0.741-0.6450.243-0.141-0.2300.1100.6910.3890.594-0.1290.0060.8040.7780.8150.8020.8020.8000.394-0.048-0.0480.6190.6780.4800.7680.7680.7680.8030.7630.7460.2870.3060.3650.7440.8620.8160.8160.8160.0000.7870.7580.6730.7330.8220.7900.7350.7150.4700.2710.490-0.4880.1210.0900.2050.7210.6950.700-0.048-0.0480.1770.4680.4590.458-0.1620.1510.5570.0860.0750.0330.163-0.0720.1061.0000.157-0.1490.1550.0290.0290.8380.5390.2100.5130.268-0.2470.8230.4490.048-0.046-0.0480.7970.7640.7450.257-0.048-0.045-0.274-0.160-0.048-0.0480.048-0.048-0.048-0.0481.000
HourCounters Average Yaw Avg. [h]0.005-0.005-0.0060.0240.000-0.0900.0760.0910.1730.2570.0220.406-0.0060.053-0.098-0.2830.0150.479-0.020-0.0460.0170.2190.1030.127-0.0510.0150.1940.2000.1860.1910.1880.1870.103-0.005-0.0060.1890.1900.1140.2010.2030.2020.1990.2890.0720.3410.0870.1050.1730.1810.2100.2090.2080.0000.1780.260-0.0650.3770.1820.271-0.0370.4000.2830.564-0.2420.0670.0470.0440.0750.1530.1470.153-0.006-0.0060.0310.1480.1460.149-0.0800.0390.0990.1490.0720.0120.081-0.0740.1140.1571.000-0.0880.0690.0000.0000.2030.1070.1540.2560.1770.2140.1830.3090.006-0.005-0.0060.1920.2860.0750.314-0.005-0.007-0.062-0.080-0.006-0.0060.007-0.005-0.006-0.0051.000
Hydraulic Oil Temp. Avg. [°C]0.179-0.179-0.1790.0200.354-0.131-0.014-0.014-0.254-0.267-0.217-0.274-0.1790.008-0.0550.012-0.073-0.184-0.111-0.088-0.257-0.284-0.322-0.305-0.063-0.010-0.254-0.251-0.242-0.243-0.233-0.250-0.259-0.179-0.179-0.302-0.252-0.267-0.270-0.267-0.269-0.227-0.238-0.1950.019-0.262-0.364-0.295-0.107-0.236-0.235-0.2360.577-0.255-0.265-0.213-0.197-0.231-0.237-0.200-0.174-0.094-0.1560.006-0.0170.0050.020-0.031-0.288-0.281-0.271-0.179-0.179-0.268-0.358-0.362-0.363-0.0890.069-0.2150.1350.0750.0210.090-0.0740.091-0.149-0.0881.000-0.3030.3540.354-0.108-0.2570.125-0.114-0.1650.049-0.231-0.1580.178-0.180-0.178-0.221-0.238-0.1950.023-0.179-0.182-0.105-0.090-0.179-0.1790.178-0.179-0.179-0.1791.000
Nacelle Temp. Avg. [°C]-0.7270.7270.7270.0500.3540.7800.088-0.0010.2590.2720.2110.2800.7270.0620.023-0.0260.0530.1860.7070.7000.9300.4930.8450.580-0.0100.0120.3410.3210.3060.3120.2890.3220.4620.7270.7270.5700.4430.6150.3540.3500.3520.2640.2750.2280.0350.8880.9120.4620.0980.2660.2670.2640.5770.2430.2560.1840.2030.2460.2530.1930.1950.0840.143-0.0210.064-0.051-0.106-0.0030.4540.4630.4580.7270.7270.8260.6960.7010.708-0.0150.0500.268-0.1830.009-0.0190.014-0.013-0.0250.1550.069-0.3031.0000.3540.3540.0990.296-0.1710.0960.172-0.0120.2460.152-0.7260.7270.7270.2600.2750.2280.0270.7270.7330.715-0.0130.7270.727-0.7260.7270.7270.7271.000
Power factor set point0.0170.0130.0180.4780.9370.0330.0050.0050.0000.0000.1770.0000.0200.0760.1210.1770.1770.0830.3540.3540.3540.3550.3540.3530.0000.0000.3540.3540.3540.3540.3540.3540.3580.0240.0170.3530.3530.3550.3530.3530.3530.0470.0440.1770.0340.3540.3550.3530.0750.0000.0000.0000.3530.0000.0140.0000.0000.0000.3540.0220.0000.0500.0000.0000.0000.1770.1770.1770.3530.3530.3530.0200.0200.3540.3530.3530.3530.0000.1930.0000.0170.3480.5950.1320.3820.1940.0290.0000.3540.3541.0000.9370.0000.0000.0000.0000.0000.0000.0000.0490.0160.0150.0380.0460.0410.1770.0350.0200.0850.3540.0130.0150.0200.0160.0200.0240.0151.000
Power factor set point source0.0170.0130.0180.4780.9370.0330.0050.0050.0000.0000.1770.0000.0200.0760.1210.1770.1770.0830.3540.3540.3540.3550.3540.3530.0000.0000.3540.3540.3540.3540.3540.3540.3580.0240.0170.3530.3530.3550.3530.3530.3530.0470.0440.1770.0340.3540.3550.3530.0750.0000.0000.0000.3530.0000.0140.0000.0000.0000.3540.0220.0000.0500.0000.0000.0000.1770.1770.1770.3530.3530.3530.0200.0200.3540.3530.3530.3530.0000.1930.0000.0170.3480.5950.1320.3820.1940.0290.0000.3540.3540.9371.0000.0000.0000.0000.0000.0000.0000.0000.0490.0160.0150.0380.0460.0410.1770.0350.0200.0850.3540.0130.0150.0200.0160.0200.0240.0151.000
Production LatestAverage Active Power Gen 0 Avg. [W]0.069-0.069-0.0690.1110.000-0.1680.1070.0440.6680.6320.6410.466-0.0690.080-0.718-0.731-0.7110.302-0.153-0.2330.0580.6450.3250.503-0.209-0.0090.7230.7080.7260.7350.7340.7120.351-0.069-0.0690.5250.5920.3980.6830.6840.6830.7410.6740.7480.1380.2880.2810.6580.9330.7260.7280.7300.0000.6630.6300.5270.6500.7470.7040.6770.6540.5670.2610.648-0.6800.1280.0800.1800.6250.6000.608-0.069-0.0690.1170.3630.3580.357-0.2820.2320.4480.3220.1350.0350.282-0.1330.2060.8380.203-0.1080.0990.0000.0001.0000.4310.3340.6230.211-0.2490.7470.5060.069-0.067-0.0690.7400.6760.7490.108-0.069-0.067-0.294-0.282-0.069-0.0690.069-0.069-0.069-0.0691.000
Production LatestAverage Active Power Gen 1 Avg. [W]0.085-0.085-0.0850.0440.000-0.138-0.018-0.0560.8430.8380.7810.728-0.085-0.018-0.144-0.206-0.0480.378-0.175-0.2540.1660.7170.4770.746-0.0630.0190.8670.8700.8630.8650.8560.8630.649-0.085-0.0850.7650.7960.7050.8570.8570.8560.8620.8620.8100.0600.2980.5430.7700.4520.8680.8690.8690.0000.8460.8480.7910.6580.8690.8630.7840.6590.2160.390-0.0290.1540.0960.1080.2740.8230.8190.823-0.085-0.0850.2450.7590.7470.747-0.1020.0730.967-0.6490.0680.0210.103-0.0660.1030.5390.107-0.2570.2960.0000.0000.4311.000-0.5790.2280.500-0.1420.8690.3760.085-0.082-0.0850.8600.8620.8110.033-0.085-0.077-0.233-0.101-0.085-0.0850.084-0.085-0.085-0.0851.000
Production LatestAverage Active Power Gen 2 Avg. [W]-0.0170.0160.0160.0470.000-0.0200.0860.085-0.184-0.191-0.194-0.1790.0160.066-0.387-0.414-0.4000.0880.0350.039-0.107-0.093-0.169-0.268-0.110-0.004-0.174-0.187-0.170-0.168-0.169-0.178-0.2790.0160.016-0.251-0.230-0.319-0.205-0.204-0.204-0.148-0.158-0.1900.227-0.036-0.241-0.1430.295-0.146-0.149-0.1480.000-0.189-0.191-0.338-0.028-0.146-0.149-0.253-0.0050.353-0.0040.422-0.5210.002-0.046-0.122-0.221-0.239-0.2310.0160.016-0.145-0.375-0.369-0.369-0.1400.108-0.5990.9320.0640.0150.140-0.0660.1090.2100.1540.125-0.1710.0000.0000.334-0.5791.0000.322-0.1860.113-0.1460.169-0.0170.0150.017-0.153-0.158-0.1920.2210.0160.010-0.030-0.1390.0160.016-0.0160.0160.0160.0161.000
Production LatestAverage Reactive Power Gen 0 Avg. [var]0.016-0.015-0.0160.0470.000-0.0930.0830.0770.4190.4100.3590.351-0.0160.047-0.471-0.503-0.4330.415-0.072-0.1210.0870.4260.3040.377-0.014-0.0120.4550.4660.4510.4650.4770.4470.168-0.015-0.0160.3640.3970.2410.4540.4510.4520.4610.4340.4520.0580.2260.2120.4640.4990.4340.4340.4350.0000.4140.4370.2110.4910.4710.4700.3450.4470.9190.5430.522-0.3790.0870.0440.1140.4360.4100.400-0.016-0.0160.1350.2190.2180.218-0.0180.0920.2370.320-0.044-0.0160.0150.045-0.1010.5130.256-0.1140.0960.0000.0000.6230.2280.3221.0000.1160.1420.4720.8300.016-0.014-0.0150.4670.4340.4520.023-0.016-0.017-0.167-0.015-0.016-0.0160.016-0.016-0.016-0.0161.000
Production LatestAverage Reactive Power Gen 1 Avg. [var]0.041-0.041-0.0410.0190.000-0.082-0.011-0.0140.4260.4440.3530.442-0.041-0.0100.054-0.0760.1440.362-0.085-0.1190.0870.3800.2530.372-0.0330.0080.4300.4320.4210.4280.4140.4250.346-0.041-0.0410.3780.3870.3440.4280.4280.4280.4290.4640.3440.1010.1450.2970.3890.2250.4410.4410.4410.0000.4300.4540.3350.3970.4410.4610.3010.4000.1880.356-0.1050.2120.0760.0790.1550.4160.4130.414-0.041-0.0410.1110.3850.3800.380-0.0470.0390.441-0.2650.0300.0060.048-0.0290.0450.2680.177-0.1650.1720.0000.0000.2110.500-0.1860.1161.0000.0020.4400.5440.041-0.039-0.0410.4180.4630.3440.093-0.041-0.039-0.105-0.047-0.041-0.0410.041-0.041-0.041-0.0411.000
Production LatestAverage Reactive Power Gen 2 Avg. [var]-0.0380.0380.0380.0020.0000.044-0.0010.013-0.209-0.167-0.286-0.0440.038-0.0110.1440.0590.2700.3840.0680.088-0.006-0.150-0.070-0.143-0.032-0.013-0.186-0.167-0.195-0.187-0.177-0.187-0.1020.0380.038-0.117-0.126-0.105-0.172-0.171-0.171-0.181-0.083-0.2700.230-0.037-0.082-0.185-0.332-0.181-0.182-0.1840.000-0.209-0.120-0.419-0.045-0.196-0.115-0.421-0.0320.3110.428-0.2640.437-0.020-0.019-0.042-0.179-0.171-0.1700.0380.038-0.018-0.111-0.108-0.107-0.0300.024-0.1470.1070.009-0.0030.031-0.0100.023-0.2470.2140.049-0.0120.0000.000-0.249-0.1420.1130.1420.0021.000-0.1960.302-0.0380.0370.038-0.174-0.085-0.2710.2190.0380.0360.085-0.0300.0380.038-0.0380.0380.0380.0381.000
Production LatestAverage Total Active Power Avg. [W]0.100-0.100-0.1000.0820.000-0.1870.035-0.0160.9420.9250.8760.778-0.1000.022-0.480-0.541-0.3920.414-0.200-0.2980.1350.8210.4840.764-0.1320.0190.9720.9650.9740.9720.9640.9660.622-0.100-0.1000.7900.8450.6740.9360.9360.9360.9830.9680.9140.2190.3370.5150.8700.7520.9890.9890.9890.0000.9430.9370.8250.8071.0000.9830.8810.8110.4300.4230.273-0.2040.1270.1160.2750.8920.8750.882-0.100-0.1000.2180.6990.6880.687-0.1920.1490.838-0.2610.1050.0280.193-0.1040.1650.8230.183-0.2310.2460.0000.0000.7470.869-0.1460.4720.440-0.1961.0000.5110.100-0.097-0.1000.9800.9680.9140.184-0.100-0.093-0.312-0.191-0.100-0.1000.099-0.100-0.100-0.1001.000
Production LatestAverage Total Reactive Power Avg. [var]0.024-0.023-0.0240.0430.049-0.0980.0550.0550.4650.4760.3680.457-0.0240.027-0.281-0.383-0.1760.555-0.080-0.1270.1090.4570.3380.431-0.015-0.0110.4960.5100.4870.5030.5080.4880.258-0.023-0.0240.4230.4470.3180.5000.4980.4990.5000.5140.4300.1310.2260.2820.4920.3960.4810.4810.4820.0000.4640.5100.2170.5390.5110.5340.3010.5030.8860.6740.282-0.0810.0940.0630.1460.4850.4660.456-0.024-0.0240.1540.3210.3190.319-0.0180.0830.3520.127-0.035-0.0110.0160.035-0.0820.4490.309-0.1580.1520.0490.0490.5060.3760.1690.8300.5440.3020.5111.0000.024-0.022-0.0230.5000.5130.4300.100-0.024-0.024-0.152-0.016-0.023-0.0240.024-0.024-0.024-0.0241.000
Reactive power generator 0,Total accumulated [var]1.000-1.000-1.0000.0070.016-0.811-0.165-0.0070.0610.0540.0750.027-1.000-0.148-0.000-0.005-0.0090.037-0.764-0.777-0.751-0.086-0.461-0.170-0.0360.0000.0270.0470.0520.0510.0680.042-0.105-1.000-1.000-0.182-0.082-0.2340.0350.0390.0370.0760.0710.078-0.032-0.669-0.612-0.0630.0690.0800.0800.0810.0220.0810.0780.1100.0450.1000.0960.1220.0430.0100.0360.001-0.0130.0850.1800.152-0.054-0.060-0.058-1.000-1.000-0.748-0.303-0.332-0.329-0.0400.0350.063-0.0240.0330.0160.040-0.0310.0380.0480.0060.178-0.7260.0160.0160.0690.085-0.0170.0160.041-0.0380.1000.0241.000-0.999-1.0000.0750.0700.078-0.039-1.000-0.995-0.776-0.040-1.000-1.0001.000-1.000-1.000-1.0001.000
Reactive power generator 1, Total accumulated [var]-1.0001.0001.000-0.0070.0150.8090.1650.007-0.058-0.051-0.073-0.0241.0000.147-0.0000.0040.009-0.0350.7610.7750.7520.0900.4630.1730.035-0.000-0.024-0.044-0.049-0.048-0.065-0.0390.1071.0001.0000.1840.0860.236-0.031-0.035-0.033-0.073-0.068-0.0760.0330.6700.6140.066-0.067-0.077-0.078-0.0780.022-0.079-0.074-0.108-0.042-0.097-0.093-0.120-0.041-0.009-0.033-0.0010.014-0.086-0.181-0.1510.0570.0630.0611.0001.0000.7500.3070.3350.3330.040-0.035-0.0600.022-0.034-0.016-0.0410.032-0.039-0.046-0.005-0.1800.7270.0150.015-0.067-0.0820.015-0.014-0.0390.037-0.097-0.022-0.9991.0001.000-0.072-0.067-0.0760.0401.0000.9940.7740.0401.0001.000-0.9991.0001.0001.0001.000
Reactive power generator 2, Total accumulated [var]-1.0001.0001.000-0.0070.0380.8110.1650.007-0.060-0.054-0.075-0.0261.0000.1480.0000.0050.009-0.0360.7640.7780.7520.0870.4620.1710.036-0.001-0.027-0.047-0.052-0.051-0.068-0.0420.1051.0001.0000.1820.0820.234-0.034-0.038-0.036-0.076-0.071-0.0780.0330.6700.6130.064-0.069-0.080-0.080-0.0810.018-0.081-0.077-0.110-0.045-0.100-0.096-0.122-0.043-0.010-0.035-0.0010.014-0.085-0.180-0.1520.0540.0600.0581.0001.0000.7480.3030.3320.3290.040-0.035-0.0630.024-0.033-0.016-0.0410.032-0.039-0.048-0.006-0.1780.7270.0380.038-0.069-0.0850.017-0.015-0.0410.038-0.100-0.023-1.0001.0001.000-0.075-0.070-0.0780.0401.0000.9950.7770.0401.0001.000-1.0001.0001.0001.0001.000
Rotor RPM Avg. [RPM]0.075-0.075-0.0750.0910.046-0.1600.048-0.0090.9300.9100.8680.758-0.0750.032-0.515-0.565-0.4210.402-0.174-0.2760.1520.8180.4850.753-0.1750.0100.9710.9660.9740.9730.9690.9650.630-0.075-0.0750.7920.8510.6790.9290.9290.9290.9950.9640.9390.2170.3580.5170.8500.7380.9820.9820.9830.0000.9250.9210.8040.8060.9800.9660.8650.8180.4270.4100.268-0.1950.1310.1170.2790.8780.8640.874-0.075-0.0750.2390.6990.6890.688-0.2470.1840.842-0.2590.1420.0430.248-0.1390.2200.7970.192-0.2210.2600.0460.0460.7400.860-0.1530.4670.418-0.1740.9800.5000.075-0.072-0.0751.0000.9640.9390.176-0.075-0.068-0.297-0.247-0.075-0.0750.074-0.075-0.075-0.0751.000
Rotor RPM Max. [RPM]0.070-0.070-0.0700.0770.041-0.1590.039-0.0070.9240.9320.8220.836-0.0700.023-0.440-0.547-0.3090.513-0.162-0.2590.1560.8110.4850.749-0.1300.0240.9530.9500.9530.9510.9420.9470.628-0.070-0.0700.7960.8450.6790.9190.9200.9190.9690.9990.8600.3610.3490.5290.8400.6800.9750.9750.9740.0000.9230.9460.7520.8400.9680.9870.7910.8570.4190.5060.155-0.0860.1270.1200.2780.8690.8550.865-0.070-0.0700.2310.7120.7010.701-0.2020.1400.831-0.2760.1280.0330.203-0.1270.2010.7640.286-0.2380.2750.0410.0410.6760.862-0.1580.4340.463-0.0850.9680.5130.070-0.067-0.0700.9641.0000.8610.320-0.070-0.063-0.274-0.201-0.070-0.0700.069-0.070-0.070-0.0701.000
Rotor RPM Min. [RPM]0.078-0.078-0.0780.0930.177-0.1530.057-0.0190.8680.8130.8830.591-0.0780.042-0.516-0.494-0.5010.278-0.181-0.2760.1340.7680.4520.704-0.194-0.0120.9080.9030.9140.9170.9160.9030.604-0.078-0.0780.7300.7920.6340.8660.8660.8650.9320.8590.9980.0190.3420.4730.7900.7270.9130.9140.9151.0000.8550.8200.8350.6840.9140.8690.9130.6920.3690.2850.377-0.3010.1260.1050.2570.8180.8060.815-0.078-0.0780.2220.6450.6360.635-0.2670.2030.806-0.2340.1460.0440.268-0.1430.2240.7450.075-0.1950.2280.1770.1770.7490.811-0.1920.4520.344-0.2710.9140.4300.078-0.076-0.0780.9390.8611.000-0.019-0.078-0.071-0.303-0.268-0.078-0.0780.077-0.078-0.078-0.0781.000
Rotor RPM StdDev [RPM]-0.0400.0400.0400.0150.035-0.0110.0260.0680.1810.2420.0320.3520.0400.011-0.348-0.418-0.1390.2310.0290.0080.0290.1280.0390.068-0.0290.0240.1810.1780.1780.1660.1590.1830.0010.0400.0400.1530.1780.0860.1620.1640.1640.1900.320-0.0180.9860.0680.0510.0870.1110.2110.2100.2080.0000.1850.253-0.0310.3660.1840.265-0.0600.3930.1130.334-0.1600.1310.0330.0480.0560.1200.1170.1260.0400.0400.0050.0570.0530.053-0.0790.0250.0940.0680.0640.0070.080-0.0690.1230.2570.3140.0230.0270.0350.0350.1080.0330.2210.0230.0930.2190.1840.100-0.0390.0400.0400.1760.320-0.0191.0000.0400.038-0.014-0.0790.0400.040-0.0400.0400.0400.0401.000
Run hours [h]-1.0001.0001.000-0.0070.0200.8110.1650.007-0.061-0.054-0.075-0.0261.0000.1480.0000.0050.009-0.0360.7630.7770.7520.0870.4620.1710.036-0.000-0.027-0.047-0.052-0.051-0.068-0.0420.1051.0001.0000.1820.0820.235-0.034-0.038-0.036-0.076-0.071-0.0780.0320.6700.6130.064-0.069-0.080-0.080-0.0810.021-0.081-0.077-0.110-0.045-0.100-0.096-0.122-0.043-0.010-0.035-0.0010.014-0.085-0.180-0.1520.0540.0600.0581.0001.0000.7490.3040.3330.3300.040-0.035-0.0630.023-0.033-0.016-0.0410.032-0.039-0.048-0.005-0.1790.7270.0200.020-0.069-0.0850.016-0.016-0.0410.038-0.100-0.024-1.0001.0001.000-0.075-0.070-0.0780.0401.0000.9950.7760.0401.0001.000-1.0001.0001.0001.0001.000
Service hours [h]-0.9950.9950.995-0.0060.0850.8150.1600.007-0.053-0.048-0.067-0.0230.9950.143-0.0030.0020.007-0.0370.7670.7790.7580.0920.4670.1760.037-0.001-0.020-0.041-0.045-0.045-0.061-0.0360.1100.9950.9950.1930.0850.240-0.028-0.032-0.030-0.070-0.065-0.0710.0310.6790.6200.070-0.067-0.073-0.074-0.0750.021-0.075-0.071-0.103-0.040-0.093-0.090-0.116-0.038-0.012-0.035-0.0010.015-0.085-0.180-0.1490.0600.0660.0640.9950.9950.7560.3140.3430.3400.041-0.038-0.0550.017-0.034-0.015-0.0410.033-0.037-0.045-0.007-0.1820.7330.0850.085-0.067-0.0770.010-0.017-0.0390.036-0.093-0.024-0.9950.9940.995-0.068-0.063-0.0710.0380.9951.0000.7780.0410.9950.995-0.9950.9950.9950.9951.000
Spinner Temp. Avg. [°C]-0.7760.7760.7760.0230.3540.9290.0640.020-0.290-0.270-0.299-0.1950.7760.0550.2020.2030.197-0.1110.9150.9830.757-0.0980.4440.0740.0220.006-0.247-0.267-0.275-0.271-0.289-0.2660.0040.7760.7760.011-0.1070.164-0.249-0.254-0.251-0.297-0.274-0.303-0.0330.5760.506-0.082-0.290-0.296-0.297-0.3000.577-0.306-0.294-0.301-0.240-0.312-0.301-0.312-0.245-0.149-0.123-0.1270.137-0.136-0.173-0.166-0.095-0.079-0.0850.7760.7760.6050.1510.1600.1660.076-0.035-0.223-0.002-0.085-0.031-0.0770.084-0.117-0.274-0.062-0.1050.7150.3540.354-0.294-0.233-0.030-0.167-0.1050.085-0.312-0.152-0.7760.7740.777-0.297-0.274-0.303-0.0140.7760.7781.0000.0770.7760.776-0.7760.7760.7760.7761.000
System Logs First Active Alarm No-0.0400.0410.040-0.3330.0130.058-0.0630.0490.0220.0220.0140.0330.040-0.0760.2940.2840.296-0.1160.0280.0440.057-0.1760.045-0.0160.7430.069-0.197-0.192-0.191-0.216-0.215-0.184-0.2180.0410.040-0.039-0.094-0.109-0.114-0.118-0.116-0.242-0.200-0.264-0.092-0.086-0.009-0.076-0.266-0.219-0.221-0.2200.0000.0260.0190.017-0.095-0.192-0.178-0.174-0.193-0.0190.044-0.0430.0830.0170.0260.003-0.064-0.076-0.1090.0400.0400.024-0.040-0.038-0.0401.000-0.753-0.117-0.150-0.505-0.124-0.9940.494-0.802-0.160-0.080-0.090-0.0130.0130.013-0.282-0.101-0.139-0.015-0.047-0.030-0.191-0.016-0.0400.0400.040-0.247-0.201-0.268-0.0790.0400.0410.0771.0000.0400.040-0.0400.0400.0400.0401.000
Total Active power [W]-1.0001.0001.000-0.0070.0150.8110.1650.007-0.060-0.054-0.075-0.0261.0000.1480.0000.0050.009-0.0360.7630.7770.7520.0880.4620.1710.036-0.000-0.027-0.047-0.052-0.051-0.068-0.0420.1061.0001.0000.1830.0820.235-0.034-0.038-0.036-0.076-0.071-0.0780.0320.6700.6130.064-0.069-0.080-0.080-0.0810.021-0.081-0.077-0.110-0.045-0.100-0.096-0.122-0.043-0.010-0.035-0.0010.014-0.085-0.180-0.1520.0540.0610.0581.0001.0000.7490.3040.3330.3300.041-0.035-0.0630.023-0.033-0.016-0.0410.032-0.039-0.048-0.006-0.1790.7270.0150.015-0.069-0.0850.016-0.016-0.0410.038-0.100-0.023-1.0001.0001.000-0.075-0.070-0.0780.0401.0000.9950.7760.0401.0001.000-1.0001.0001.0001.0001.000
Total hour counter [h]-1.0001.0001.000-0.0070.0200.8110.1650.007-0.061-0.054-0.075-0.0261.0000.1480.0000.0050.009-0.0360.7630.7770.7520.0870.4620.1710.036-0.000-0.027-0.047-0.052-0.051-0.068-0.0420.1051.0001.0000.1820.0820.235-0.034-0.038-0.036-0.076-0.071-0.0780.0320.6700.6130.064-0.069-0.080-0.080-0.0810.022-0.081-0.077-0.110-0.045-0.100-0.096-0.122-0.043-0.010-0.035-0.0010.014-0.085-0.180-0.1520.0540.0600.0581.0001.0000.7490.3040.3330.3300.040-0.035-0.0630.023-0.033-0.016-0.0410.032-0.039-0.048-0.006-0.1790.7270.0200.020-0.069-0.0850.016-0.016-0.0410.038-0.100-0.024-1.0001.0001.000-0.075-0.070-0.0780.0401.0000.9950.7760.0401.0001.000-1.0001.0001.0001.0001.000
Total reactive power [var]1.000-0.999-1.0000.0070.016-0.812-0.164-0.0080.0600.0530.0740.026-1.000-0.1460.001-0.004-0.0080.037-0.764-0.777-0.751-0.085-0.461-0.170-0.0360.0000.0260.0470.0520.0510.0670.042-0.105-0.999-1.000-0.183-0.082-0.2340.0350.0380.0370.0760.0700.077-0.033-0.669-0.612-0.0640.0680.0790.0800.0810.0220.0810.0770.1100.0440.0990.0950.1220.0420.0100.0360.001-0.0130.0840.1790.151-0.054-0.060-0.058-1.000-1.000-0.747-0.303-0.331-0.329-0.0400.0350.062-0.0230.0320.0160.040-0.0310.0380.0480.0070.178-0.7260.0160.0160.0690.084-0.0160.0160.041-0.0380.0990.0241.000-0.999-1.0000.0740.0690.077-0.040-1.000-0.995-0.776-0.040-1.000-1.0001.000-1.000-1.000-1.0001.000
Turbine ok hours [h]-1.0001.0001.000-0.0070.0200.8110.1650.007-0.061-0.054-0.075-0.0261.0000.1480.0000.0050.009-0.0360.7630.7770.7520.0870.4620.1710.036-0.000-0.027-0.047-0.052-0.051-0.068-0.0420.1051.0001.0000.1820.0820.235-0.034-0.038-0.036-0.076-0.071-0.0780.0320.6700.6130.064-0.069-0.080-0.080-0.0810.021-0.081-0.077-0.110-0.045-0.100-0.096-0.122-0.043-0.010-0.035-0.0010.014-0.085-0.180-0.1520.0540.0600.0581.0001.0000.7490.3040.3330.3300.040-0.035-0.0630.023-0.033-0.016-0.0410.032-0.039-0.048-0.005-0.1790.7270.0200.020-0.069-0.0850.016-0.016-0.0410.038-0.100-0.024-1.0001.0001.000-0.075-0.070-0.0780.0401.0000.9950.7760.0401.0001.000-1.0001.0001.0001.0001.000
Wind ok hours [h]-1.0001.0001.000-0.0070.0240.8110.1650.007-0.061-0.054-0.075-0.0261.0000.1480.0000.0050.009-0.0360.7630.7770.7520.0870.4620.1710.036-0.000-0.027-0.047-0.052-0.051-0.068-0.0420.1061.0001.0000.1820.0820.235-0.034-0.038-0.036-0.076-0.071-0.0780.0320.6700.6130.064-0.069-0.080-0.080-0.0810.018-0.081-0.077-0.110-0.045-0.100-0.096-0.122-0.043-0.010-0.035-0.0010.014-0.085-0.180-0.1520.0540.0600.0581.0001.0000.7490.3040.3330.3300.040-0.035-0.0630.023-0.033-0.016-0.0410.032-0.039-0.048-0.006-0.1790.7270.0240.024-0.069-0.0850.016-0.016-0.0410.038-0.100-0.024-1.0001.0001.000-0.075-0.070-0.0780.0401.0000.9950.7760.0401.0001.000-1.0001.0001.0001.0001.000
Yaw hours [h]-1.0001.0001.000-0.0070.0150.8110.1650.007-0.061-0.054-0.075-0.0261.0000.1480.0000.0050.009-0.0360.7630.7770.7520.0870.4620.1710.036-0.000-0.027-0.047-0.052-0.051-0.068-0.0420.1051.0001.0000.1820.0820.235-0.034-0.038-0.036-0.076-0.071-0.0780.0330.6700.6130.064-0.069-0.080-0.080-0.0810.022-0.081-0.077-0.110-0.045-0.100-0.096-0.122-0.043-0.010-0.035-0.0010.014-0.085-0.180-0.1520.0540.0600.0581.0001.0000.7490.3040.3330.3300.040-0.035-0.0630.023-0.033-0.016-0.0410.032-0.039-0.048-0.005-0.1790.7270.0150.015-0.069-0.0850.016-0.016-0.0410.038-0.100-0.024-1.0001.0001.000-0.075-0.070-0.0780.0401.0000.9950.7760.0401.0001.000-1.0001.0001.0001.0001.000
missing_data1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000

Missing values

2025-05-05T17:42:14.583847image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-05-05T17:42:15.457304image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2025-05-05T17:42:18.851247image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

TimestampGenerator RPM Max. [RPM]Generator RPM Min. [RPM]Generator RPM Avg. [RPM]Generator RPM StdDev [RPM]Generator Bearing Temp. Avg. [°C]Generator Phase1 Temp. Avg. [°C]Generator Phase2 Temp. Avg. [°C]Generator Phase3 Temp. Avg. [°C]Generator SlipRing Temp. Avg. [°C]Generator Bearing2 Temp. Avg. [°C]Generator CoolingWater Temp. Avg. [°C]Hydraulic Oil Temp. Avg. [°C]Gear Oil Temp. Avg. [°C]Gear Bearing Temp. Avg. [°C]Gear Oil TemperatureBasis Avg. [°C]Gear Oil TemperatureLevel1 Avg. [°C]Gear Oil TemperatureLevel2_3 Avg. [°C]Gear Bearing TemperatureHSRotorEnd Avg. [°C]Gear Bearing TemperatureHSGeneratorEnd Avg. [°C]Gear Bearing TemperatureHSMiddle Avg. [°C]Gear Bearing TemperatureHollowShaftRotor Avg. [°C]Gear Bearing TemperatureHollowShaftGenerator Avg. [°C]Nacelle Temp. Avg. [°C]Avg. direction [°]Rotor RPM Max. [RPM]Rotor RPM Min. [RPM]Rotor RPM Avg. [RPM]Rotor RPM StdDev [RPM]Ambient WindSpeed Max. [m/s]Ambient WindSpeed Min. [m/s]Ambient WindSpeed Avg. [m/s]Ambient WindSpeed StdDev [m/s]Ambient WindDir Relative Avg. [°]Ambient WindDir Absolute Avg. [°]Ambient Temp. Avg. [°C]Ambient WindSpeed Estimated Avg. [m/s]Grid InverterPhase1 Temp. Avg. [°C]Grid RotorInvPhase1 Temp. Avg. [°C]Grid RotorInvPhase2 Temp. Avg. [°C]Grid RotorInvPhase3 Temp. Avg. [°C]Grid Production Power Avg. [W]Grid Production CosPhi Avg.Grid Production Frequency Avg. [Hz]Grid Production VoltagePhase1 Avg. [V]Grid Production VoltagePhase2 Avg. [V]Grid Production VoltagePhase3 Avg. [V]Grid Production CurrentPhase1 Avg. [A]Grid Production CurrentPhase2 Avg. [A]Grid Production CurrentPhase3 Avg. [A]Grid Production Power Max. [W]Grid Production Power Min. [W]Grid Busbar Temp. Avg. [°C]Grid Production Power StdDev [W]Grid Production ReactivePower Avg. [W]Grid Production ReactivePower Max. [W]Grid Production ReactivePower Min. [W]Grid Production ReactivePower StdDev [W]Grid Production PossiblePower Avg. [W]Grid Production PossiblePower Max. [W]Grid Production PossiblePower Min. [W]Grid Production PossiblePower StdDev [W]Grid Production PossibleInductive Avg. [var]Grid Production PossibleInductive Max. [var]Grid Production PossibleInductive Min. [var]Grid Production PossibleInductive StdDev [var]Grid Production PossibleCapacitive Avg. [var]Grid Production PossibleCapacitive Max. [var]Grid Production PossibleCapacitive Min. [var]Grid Production PossibleCapacitive StdDev [var]Active power limit [W]Active power limit sourceReactive power set point [var]Power factor set pointPower factor set point sourceController Ground Temp. Avg. [°C]Controller Top Temp. Avg. [°C]Controller Hub Temp. Avg. [°C]Controller VCP Temp. Avg. [°C]Controller VCP ChokecoilTemp. Avg. [°C]Controller VCP WaterTemp. Avg. [°C]Spinner Temp. Avg. [°C]Spinner Temp. SlipRing Avg. [°C]Blades PitchAngle Min. [°]Blades PitchAngle Max. [°]Blades PitchAngle Avg. [°]Blades PitchAngle StdDev [°]HVTrafo Phase1 Temp. Avg. [°C]HVTrafo Phase2 Temp. Avg. [°C]HVTrafo Phase3 Temp. Avg. [°C]HVTrafo AirOutlet Temp. Avg. [°C]HourCounters Average Total Avg. [h]HourCounters Average GridOn Avg. [h]HourCounters Average GridOk Avg. [h]HourCounters Average TurbineOk Avg. [h]HourCounters Average Run Avg. [h]HourCounters Average Gen1 Avg. [h]HourCounters Average Gen2 Avg. [h]HourCounters Average Yaw Avg. [h]HourCounters Average ServiceOn Avg. [h]HourCounters Average AmbientOk Avg. [h]HourCounters Average WindOk Avg. [h]HourCounters Average AlarmActive Avg. [h]Total hour counter [h]Grid on hours [h]Grid ok hours [h]Turbine ok hours [h]Run hours [h]Generator 1 hours [h]Generator 2 hours [h]Yaw hours [h]Service hours [h]Ambient ok hours [h]Wind ok hours [h]Production LatestAverage Active Power Gen 0 Avg. [W]Production LatestAverage Active Power Gen 1 Avg. [W]Production LatestAverage Active Power Gen 2 Avg. [W]Production LatestAverage Total Active Power Avg. [W]Production LatestAverage Reactive Power Gen 0 Avg. [var]Production LatestAverage Reactive Power Gen 1 Avg. [var]Production LatestAverage Reactive Power Gen 2 Avg. [var]Production LatestAverage Total Reactive Power Avg. [var]Active power generator 0, Total accumulated [W]Active power generator 1, Total accumulated [W]Active power generator 2, Total accumulated [W]Total Active power [W]Reactive power generator 0,Total accumulated [var]Reactive power generator 1, Total accumulated [var]Reactive power generator 2, Total accumulated [var]Total reactive power [var]System Logs First Active Alarm NoFirst Alarm parameter 1 in 10 min frameFirst Alarm parameter 2 in 10 min framemissing_data
02020-01-01 00:00:001057.01039.01049.03.033.040.041.041.025.039.028.046.0999.0999.054.049.00.055.055.055.062.062.024.0257.510.19.910.00.06.02.94.10.4-3.4254.16.00.032.031.032.032.0115.21.050.0568.2566.7564.062.766.872.4159.064.224.022.70.00.6-0.70.0114.0159.064.022.00.00.00.00.00.00.00.00.03000.011.00.01.011.018.025.016.030.079.030.010.0999.00.1-1.6-0.90.234.037.033.049.0600.0600.0600.0600.0600.00.0600.043.00.0600.0544.00.0376480800.0370131744.0361560416.0358407808.0347644032.0146263232.0118221736.019202378.07736075.0358407328.0253662272.00.00.019113.019113.00.00.00.00.0-368403.066574792.07663038.073869424.0-293782.03081.090000.0-200700.00.00.00.0False
12020-01-01 00:10:001056.01042.01049.02.033.040.041.040.026.039.029.047.0999.0999.054.049.00.054.055.055.061.062.024.0256.510.110.010.00.04.82.63.80.3-0.1256.67.00.032.032.033.033.067.51.050.0568.4566.9564.134.838.844.6104.023.125.015.50.00.3-0.80.067.0104.022.015.00.00.00.00.00.00.00.00.03000.011.00.01.011.018.025.016.030.079.031.010.0999.00.4-0.9-0.40.234.037.033.051.0600.0600.0600.0600.0600.00.0600.021.00.0600.0133.00.0376480800.0370132352.0361561024.0358408384.0347644640.0146263232.0118222336.019202400.07736075.0358407936.0253662400.00.00.011487.011487.00.00.00.00.0-368403.066574792.07663049.073869440.0-293782.03081.090000.0-200700.00.00.00.0False
22020-01-01 00:20:001055.01043.01049.02.033.040.040.040.025.039.028.048.0999.0999.054.049.00.054.054.055.061.062.024.0254.410.110.010.00.05.22.84.00.3-7.4247.16.00.032.031.032.032.084.91.050.0569.1567.9565.244.749.054.4119.425.724.018.20.00.3-0.70.084.0119.027.018.00.00.00.00.00.00.00.00.03000.011.00.01.011.018.025.016.030.079.030.010.0999.00.2-1.3-0.60.234.037.033.049.0600.0600.0600.0600.0600.00.0600.025.00.0600.0290.00.0376480800.0370132960.0361561600.0358408992.0347645216.0146263232.0118222936.019202424.07736075.0358408544.0253662688.00.00.014172.014172.00.00.00.00.0-368403.066574792.07663064.073869456.0-293782.03081.090000.0-200700.00.00.00.0False
32020-01-01 00:30:001074.01003.01049.05.033.040.040.040.024.039.028.049.0999.0999.053.049.00.054.054.055.061.062.024.0261.510.39.610.00.05.32.03.70.51.7263.26.00.031.031.032.032.061.70.950.0569.1567.7565.035.438.542.9186.4-30.824.048.11.632.0-0.36.964.0193.0-11.045.00.00.00.00.00.00.00.00.03000.011.00.01.011.018.025.016.030.079.030.010.0999.05.3-1.3-0.11.234.037.033.049.0600.0600.0600.0600.0600.00.0571.00.00.0600.0110.00.0376480800.0370133568.0361562208.0358409600.0347645824.0146263232.0118223504.019202424.07736075.0358409152.0253662800.0-48.00.010734.010686.098.00.0133.0231.0-368403.066574792.07663074.073869464.0-293782.03081.090000.0-200700.00.00.00.0False
42020-01-01 00:40:001059.01043.01049.02.033.040.040.040.025.039.029.049.0999.0999.053.049.00.054.054.055.061.062.024.0254.410.110.010.00.05.83.04.10.3-0.9253.66.00.033.032.033.033.0111.11.050.0570.1568.8566.059.664.569.6163.570.824.022.50.00.6-0.70.0110.0160.071.022.00.00.00.00.00.00.00.00.03000.011.00.01.011.018.025.016.030.079.031.010.0999.0-0.2-1.4-0.80.234.037.033.050.0600.0600.0600.0600.0600.00.0600.019.00.0600.0481.00.0376484416.0370134144.0361562816.0358410208.0347646432.0146263232.0118224104.019202444.07736075.0358409728.0253663280.00.00.018539.018539.01.00.00.01.0-368403.066574792.07663093.073869480.0-293782.03081.090000.0-200700.00.00.00.0False
52020-01-01 00:50:001056.01044.01049.02.033.039.040.040.025.039.028.050.0999.0999.053.049.00.054.054.055.061.062.024.0252.810.110.010.00.05.71.83.60.4-8.9243.96.00.031.030.032.032.041.41.050.0571.1569.7567.021.624.429.4136.8-2.924.030.80.00.2-0.30.040.0137.0-3.030.00.00.00.00.00.00.00.00.03000.011.00.01.011.018.025.016.030.079.030.010.0999.00.8-1.3-0.10.434.037.033.050.0600.0600.0600.0600.0600.00.0600.00.00.0600.0116.00.0376484416.0370134752.0361563424.0358410816.0347647040.0146263232.0118224704.019202444.07736075.0358410336.0253663392.00.00.07204.07204.00.00.00.00.0-368403.066574792.07663100.073869488.0-293782.03081.090000.0-200700.00.00.00.0False
62020-01-01 01:00:001064.01004.01049.05.033.039.040.040.025.038.029.050.0999.0999.053.049.00.054.054.055.061.062.024.0252.810.29.610.00.06.91.43.90.6-5.6247.26.00.032.031.033.033.088.10.950.0571.4570.0567.450.354.158.4210.0-30.324.047.92.434.4-0.58.789.0225.0-27.045.00.00.00.00.00.00.00.00.03000.011.00.01.011.018.025.016.030.079.031.010.0999.05.1-1.6-0.31.334.037.033.050.0600.0600.0600.0600.0600.00.0557.00.00.0600.0308.00.0376484416.0370135360.0361564000.0358411392.0347647616.0146263232.0118225264.019202444.07736075.0358410944.0253663696.0-208.00.014423.014215.0308.00.0143.0451.0-368403.066574792.07663115.073869504.0-293782.03081.090000.0-200700.00.00.00.0False
72020-01-01 01:10:001060.01038.01049.03.033.039.040.040.025.038.029.050.0999.0999.054.049.00.054.054.055.061.062.024.0264.610.19.910.00.05.72.64.20.4-4.4260.26.00.033.032.033.033.0120.11.050.0570.6569.1566.865.069.774.5188.375.624.021.30.00.4-0.70.0119.0188.076.021.00.00.00.00.00.00.00.00.03000.011.00.01.011.018.025.016.030.079.031.010.0999.00.4-2.2-0.90.334.037.033.049.0600.0600.0600.0600.0600.00.0600.026.00.0600.0600.00.0376484416.0370135936.0361564608.0358412000.0347648224.0146263232.0118225864.019202468.07736075.0358411552.0253664304.0-1.00.019765.019764.00.00.00.00.0-368403.066574792.07663134.073869520.0-293782.03081.090000.0-200700.00.00.00.0False
82020-01-01 01:20:001068.01031.01049.04.033.040.040.040.025.038.028.051.0999.0999.054.049.00.055.055.055.061.062.024.0265.010.29.810.00.06.63.24.50.4-6.1258.96.00.032.031.032.032.0155.71.050.0571.9570.3567.985.490.795.1223.990.424.030.40.00.2-0.30.0155.0224.089.030.00.00.00.00.00.00.00.00.03000.011.00.01.011.017.025.016.030.079.030.010.0999.0-0.3-2.6-1.30.434.037.033.049.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0376484416.0370136544.0361565216.0358412608.0347648832.0146263232.0118226464.019202468.07736075.0358412128.0253664896.00.00.025919.025919.00.00.00.00.0-368403.066574792.07663160.073869552.0-293782.03081.090000.0-200700.00.00.00.0False
92020-01-01 01:30:001060.01040.01049.03.033.040.040.040.024.038.029.051.0999.0999.054.049.00.055.055.055.062.062.024.0272.010.19.910.00.05.62.94.30.4-1.6270.36.00.033.032.033.033.0133.81.050.0573.0571.4569.272.577.882.1212.272.824.030.90.00.3-0.60.0133.0212.072.031.00.00.00.00.00.00.00.00.03000.011.00.01.011.017.025.016.030.079.031.010.0999.00.1-2.3-1.10.334.037.033.049.0600.0600.0600.0600.0600.00.0600.020.00.0600.0600.00.0376484416.0370137152.0361565824.0358413184.0347649440.0146263232.0118227064.019202488.07736075.0358412736.0253665504.00.00.022670.022670.00.00.00.00.0-368403.066574792.07663183.073869568.0-293782.03081.090000.0-200700.00.00.00.0False
TimestampGenerator RPM Max. [RPM]Generator RPM Min. [RPM]Generator RPM Avg. [RPM]Generator RPM StdDev [RPM]Generator Bearing Temp. Avg. [°C]Generator Phase1 Temp. Avg. [°C]Generator Phase2 Temp. Avg. [°C]Generator Phase3 Temp. Avg. [°C]Generator SlipRing Temp. Avg. [°C]Generator Bearing2 Temp. Avg. [°C]Generator CoolingWater Temp. Avg. [°C]Hydraulic Oil Temp. Avg. [°C]Gear Oil Temp. Avg. [°C]Gear Bearing Temp. Avg. [°C]Gear Oil TemperatureBasis Avg. [°C]Gear Oil TemperatureLevel1 Avg. [°C]Gear Oil TemperatureLevel2_3 Avg. [°C]Gear Bearing TemperatureHSRotorEnd Avg. [°C]Gear Bearing TemperatureHSGeneratorEnd Avg. [°C]Gear Bearing TemperatureHSMiddle Avg. [°C]Gear Bearing TemperatureHollowShaftRotor Avg. [°C]Gear Bearing TemperatureHollowShaftGenerator Avg. [°C]Nacelle Temp. Avg. [°C]Avg. direction [°]Rotor RPM Max. [RPM]Rotor RPM Min. [RPM]Rotor RPM Avg. [RPM]Rotor RPM StdDev [RPM]Ambient WindSpeed Max. [m/s]Ambient WindSpeed Min. [m/s]Ambient WindSpeed Avg. [m/s]Ambient WindSpeed StdDev [m/s]Ambient WindDir Relative Avg. [°]Ambient WindDir Absolute Avg. [°]Ambient Temp. Avg. [°C]Ambient WindSpeed Estimated Avg. [m/s]Grid InverterPhase1 Temp. Avg. [°C]Grid RotorInvPhase1 Temp. Avg. [°C]Grid RotorInvPhase2 Temp. Avg. [°C]Grid RotorInvPhase3 Temp. Avg. [°C]Grid Production Power Avg. [W]Grid Production CosPhi Avg.Grid Production Frequency Avg. [Hz]Grid Production VoltagePhase1 Avg. [V]Grid Production VoltagePhase2 Avg. [V]Grid Production VoltagePhase3 Avg. [V]Grid Production CurrentPhase1 Avg. [A]Grid Production CurrentPhase2 Avg. [A]Grid Production CurrentPhase3 Avg. [A]Grid Production Power Max. [W]Grid Production Power Min. [W]Grid Busbar Temp. Avg. [°C]Grid Production Power StdDev [W]Grid Production ReactivePower Avg. [W]Grid Production ReactivePower Max. [W]Grid Production ReactivePower Min. [W]Grid Production ReactivePower StdDev [W]Grid Production PossiblePower Avg. [W]Grid Production PossiblePower Max. [W]Grid Production PossiblePower Min. [W]Grid Production PossiblePower StdDev [W]Grid Production PossibleInductive Avg. [var]Grid Production PossibleInductive Max. [var]Grid Production PossibleInductive Min. [var]Grid Production PossibleInductive StdDev [var]Grid Production PossibleCapacitive Avg. [var]Grid Production PossibleCapacitive Max. [var]Grid Production PossibleCapacitive Min. [var]Grid Production PossibleCapacitive StdDev [var]Active power limit [W]Active power limit sourceReactive power set point [var]Power factor set pointPower factor set point sourceController Ground Temp. Avg. [°C]Controller Top Temp. Avg. [°C]Controller Hub Temp. Avg. [°C]Controller VCP Temp. Avg. [°C]Controller VCP ChokecoilTemp. Avg. [°C]Controller VCP WaterTemp. Avg. [°C]Spinner Temp. Avg. [°C]Spinner Temp. SlipRing Avg. [°C]Blades PitchAngle Min. [°]Blades PitchAngle Max. [°]Blades PitchAngle Avg. [°]Blades PitchAngle StdDev [°]HVTrafo Phase1 Temp. Avg. [°C]HVTrafo Phase2 Temp. Avg. [°C]HVTrafo Phase3 Temp. Avg. [°C]HVTrafo AirOutlet Temp. Avg. [°C]HourCounters Average Total Avg. [h]HourCounters Average GridOn Avg. [h]HourCounters Average GridOk Avg. [h]HourCounters Average TurbineOk Avg. [h]HourCounters Average Run Avg. [h]HourCounters Average Gen1 Avg. [h]HourCounters Average Gen2 Avg. [h]HourCounters Average Yaw Avg. [h]HourCounters Average ServiceOn Avg. [h]HourCounters Average AmbientOk Avg. [h]HourCounters Average WindOk Avg. [h]HourCounters Average AlarmActive Avg. [h]Total hour counter [h]Grid on hours [h]Grid ok hours [h]Turbine ok hours [h]Run hours [h]Generator 1 hours [h]Generator 2 hours [h]Yaw hours [h]Service hours [h]Ambient ok hours [h]Wind ok hours [h]Production LatestAverage Active Power Gen 0 Avg. [W]Production LatestAverage Active Power Gen 1 Avg. [W]Production LatestAverage Active Power Gen 2 Avg. [W]Production LatestAverage Total Active Power Avg. [W]Production LatestAverage Reactive Power Gen 0 Avg. [var]Production LatestAverage Reactive Power Gen 1 Avg. [var]Production LatestAverage Reactive Power Gen 2 Avg. [var]Production LatestAverage Total Reactive Power Avg. [var]Active power generator 0, Total accumulated [W]Active power generator 1, Total accumulated [W]Active power generator 2, Total accumulated [W]Total Active power [W]Reactive power generator 0,Total accumulated [var]Reactive power generator 1, Total accumulated [var]Reactive power generator 2, Total accumulated [var]Total reactive power [var]System Logs First Active Alarm NoFirst Alarm parameter 1 in 10 min frameFirst Alarm parameter 2 in 10 min framemissing_data
261982020-06-30 22:20:001419.01272.01338.025.040.048.048.048.034.050.034.049.0999.0999.058.049.00.060.060.058.062.063.035.0344.713.612.212.70.28.65.57.00.51.8346.524.00.037.037.038.038.0420.91.050.0571.3569.2567.2239.2245.9251.0575.7255.837.053.00.00.2-0.30.0420.0575.0253.054.00.00.00.00.00.00.00.00.03000.011.00.01.011.033.036.034.044.094.037.028.0999.0-2.0-2.8-2.50.145.050.045.060.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0392198400.0385832320.0377152384.0373816832.0362909184.0152084608.0124900848.020044028.07844563.0373863136.0264917872.00.00.070038.070038.00.00.00.00.0-379576.069347792.08107806.077076016.0-302128.03139.090498.0-208491.00.00.00.0False
261992020-06-30 22:30:001378.01207.01310.032.040.048.048.048.034.053.034.051.0999.0999.058.049.00.061.060.058.063.064.035.0348.913.211.512.50.38.45.36.80.5-0.4348.624.00.037.037.038.038.0408.31.050.0573.1571.0568.9231.0238.0242.9527.4283.137.044.70.00.7-0.80.0407.0527.0279.045.00.00.00.00.00.00.00.00.03000.011.00.01.011.033.036.033.044.095.037.028.0999.0-2.1-2.8-2.50.145.050.045.060.0600.0600.0600.0600.0600.00.0600.014.00.0600.0600.00.0392198400.0385832928.0377152992.0373817440.0362909760.0152084608.0124901440.020044044.07844563.0373863744.0264918480.00.00.067998.067998.00.00.00.00.0-379576.069347792.08107874.077076088.0-302128.03139.090498.0-208491.00.00.00.0False
262002020-06-30 22:40:001373.01178.01271.040.040.048.048.048.034.055.034.052.0999.0999.058.049.00.061.060.058.063.064.035.0351.613.111.312.10.38.54.86.70.5-3.1348.624.00.037.037.038.038.0391.91.050.0574.3571.9569.9221.1228.2232.7517.3210.937.048.30.00.2-0.30.0391.0514.0208.049.00.00.00.00.00.00.00.00.03000.011.00.01.011.033.036.033.044.095.037.027.0999.0-2.1-2.8-2.50.145.050.045.060.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0392201984.0385833536.0377153568.0373818048.0362910368.0152084608.0124902048.020044044.07844563.0373864352.0264919072.00.00.065027.065027.00.00.00.00.0-379576.069347792.08107939.077076152.0-302128.03139.090498.0-208491.00.00.00.0False
262012020-06-30 22:50:001337.01131.01237.041.040.048.048.048.034.057.034.053.0999.0999.058.049.00.061.060.058.062.063.035.0351.612.810.811.80.38.14.56.50.5-2.8348.924.00.037.037.038.038.0373.71.050.0574.8572.2569.6210.1217.2222.8485.0186.037.048.00.00.2-0.30.0373.0487.0179.048.00.00.00.00.00.00.00.00.03000.011.00.01.011.032.036.033.044.095.037.027.0999.0-1.9-2.8-2.50.145.050.045.060.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0392201984.0385834112.0377154176.0373818656.0362910976.0152084608.0124902640.020044044.07844563.0373864928.0264919680.00.00.062064.062064.00.00.00.00.0-379576.069347792.08108001.077076208.0-302128.03139.090498.0-208491.00.00.00.0False
262022020-06-30 23:00:001359.01133.01239.045.040.047.048.048.034.058.034.054.0999.0999.057.049.00.060.059.058.062.063.035.0353.213.010.811.80.48.14.86.50.52.0355.224.00.037.036.038.038.0345.51.050.0575.5572.6570.1193.1200.5206.4464.497.437.058.10.00.6-0.50.0345.0467.095.059.00.00.00.00.00.00.00.00.03000.011.00.01.011.032.036.033.044.095.037.027.0999.0-1.8-2.8-2.50.145.050.045.060.0600.0600.0600.0600.0600.00.0600.015.00.0600.0600.00.0392201984.0385834720.0377154784.0373819232.0362911584.0152084608.0124903240.020044058.07844563.0373865536.0264920272.00.00.057678.057678.00.00.00.00.0-379576.069347792.08108059.077076272.0-302128.03139.090498.0-208491.00.00.00.0False
262032020-06-30 23:10:001318.01085.01195.047.040.047.048.048.034.059.034.048.0999.0999.057.049.00.059.059.057.062.063.035.0359.612.610.411.40.47.94.36.20.5-0.5359.224.00.039.037.038.038.0317.31.050.0576.3573.4570.8176.6184.0189.7451.7194.537.050.30.00.2-0.30.0316.0452.0192.050.00.00.00.00.00.00.00.00.03000.011.00.01.011.032.036.033.044.095.038.027.0999.0-1.9-2.8-2.50.145.050.045.060.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0392201984.0385835328.0377155392.0373819840.0362912160.0152084608.0124903840.020044058.07844563.0373866144.0264920880.00.00.052805.052805.00.00.00.00.0-379576.069347792.08108112.077076320.0-302128.03139.090498.0-208491.00.00.00.0False
262042020-06-30 23:20:001175.01049.01094.029.040.047.048.048.034.059.034.045.0999.0999.056.049.00.058.058.057.062.063.035.0359.611.210.010.40.27.24.05.60.5-3.2356.524.00.038.037.038.038.0256.61.050.0576.4573.0570.7141.8148.7154.1346.1168.237.033.20.00.2-0.20.0256.0346.0166.033.00.00.00.00.00.00.00.00.03000.011.00.01.011.031.036.032.044.095.037.027.0999.0-1.8-2.8-2.50.145.050.045.060.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0392201984.0385835936.0377155968.0373820448.0362912768.0152084608.0124904440.020044058.07844563.0373866752.0264921472.00.00.042719.042719.00.00.00.00.0-379576.069347792.08108154.077076368.0-302128.03139.090498.0-208491.00.00.00.0False
262052020-06-30 23:30:001120.01044.01058.013.040.047.047.047.034.058.034.048.0999.0999.055.049.00.058.058.056.062.063.035.0359.610.710.010.10.16.94.05.20.5-4.7355.024.00.037.036.037.037.0207.31.050.0575.1571.0569.0113.0120.4125.8285.0166.237.023.80.00.2-0.30.0206.0285.0165.023.00.00.00.00.00.00.00.00.03000.011.00.01.011.031.036.032.044.096.037.027.0999.0-1.4-2.8-2.20.245.050.045.060.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0392201984.0385836512.0377156576.0373821056.0362913376.0152084608.0124905040.020044058.07844563.0373867328.0264922080.00.00.034629.034629.00.00.00.00.0-379576.069347792.08108189.077076400.0-302128.03139.090498.0-208491.00.00.00.0False
262062020-06-30 23:40:001107.01043.01057.012.039.046.047.047.034.058.034.049.0999.0999.055.049.00.057.057.056.062.063.035.0359.610.610.010.10.17.03.85.20.5-4.2355.524.00.037.036.037.037.0197.81.050.0573.3569.2567.2107.6115.4120.7248.5154.737.020.50.00.1-0.20.0197.0249.0154.020.00.00.00.00.00.00.00.00.03000.011.00.01.011.031.036.032.044.096.037.027.0999.0-1.3-2.8-2.20.345.050.045.060.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0392205600.0385837120.0377157184.0373821632.0362913984.0152084608.0124905648.020044058.07844563.0373867936.0264922672.00.00.032928.032928.00.00.00.00.0-379576.069347792.08108222.077076432.0-302128.03139.090498.0-208491.00.00.00.0False
262072020-06-30 23:50:001077.01041.01050.04.039.046.046.046.034.057.034.051.0999.0999.055.049.00.057.057.056.061.062.035.0359.610.39.910.00.06.43.65.00.40.30.024.00.037.035.037.037.0162.71.050.0570.8566.6564.787.495.2100.6215.2113.337.020.00.00.1-0.30.0162.0216.0112.020.00.00.00.00.00.00.00.00.03000.011.00.01.011.031.036.032.044.096.037.027.0999.0-1.2-2.7-2.00.345.050.045.060.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0392205600.0385837728.0377157792.0373822240.0362914560.0152084608.0124906240.020044058.07844563.0373868544.0264923280.00.00.027306.027306.00.00.00.00.0-379576.069347792.08108249.077076464.0-302128.03139.090498.0-208491.00.00.00.0False